Thank you, David. You put me in the right direction.
At the end, I've used a lot of lines, to my taste, for this task.
Is there a more elegant way, of doing this?
ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{1}[0-9]{4})(.*)",
"\\2",
ripley.tv$producto,
ignore.case = T)
ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{2}[0-9]{4} )(.*)",
"\\2",
ripley.tv$id,
ignore.case = T)
ripley.tv$id <- sub("(.*)( [a-z]{2}[0-9]{2}[a-z]{1}[0-9]{4} )(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{2}\\-[0-9]{2}[A-Z]{2}[0-9]{3}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{2}\\-[0-9]{2}[A-Z]{2}[0-9]{3})(.*)", "\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <- sub("(.*)([0-9]{2}[A-Z]{2}[0-9]{4})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{4})(.*)", "\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{3}\\-[0-9]{2}[A-Z]{2}[0-9]{2}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{3}[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{3}\\-[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <- sub("(.*)([0-9]{2}[A-Z]{2}[0-9]{3}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{2}[0-9]{2}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{2}\\-[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <-
sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{2}[0-9]{3})(.*)",
"\\2",
ripley.tv$id, ignore.case = T)
2015-10-09 16:16 GMT-05:00 David Winsemius <dwinsemius at comcast.net>:
>
> On Oct 9, 2015, at 1:50 PM, Omar Andr? Gonz?les D?az wrote:
>
> > David,
> >
> > this is a working case. I know that all cases for ID are not covered
> with my current code.
> >
> > The question is:
> >
> > ID stars as NAs.
> >
> > 1.- How to extract 1 type of ID, and keep the rest of entries as they
> are.
> >
> > 2.- Then keep the first extraction, and search for second type of ID.
>
> If you want to use that workflow then you can replace $id with teh output
> of sub on $procuto the first time and then contiue workign on the results
> using $id as the input. The sub function returns the original values when
> there is no match.
>
> ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{1}[0-9]{4})(.*)",
"\\2",
> ripley.tv$producto,
> ignore.case = T)
>
> ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{2}[0-9]{4} )(.*)",
"\\2",
> ripley.tv$id,
> ignore.case = T)
>
> ripley.tv$id <- sub("(.*)( [a-z]{2}[0-9]{2}[a-z]{1}[0-9]{4}
)(.*)", "\\2",
> ripley.tv$id, ignore.case = T)
>
> > head(ripley.tv$id, 20)
> [1] "SMART TV LED FHD 48\" 3D\n48J6400" "
40J5300"
> [3] "TV LED FULL HD 40'' TC-40CS600L" "
LE28F6600 "
> [5] "SMART TV 40\" HD LE40K5000N" "TV LED HD
32'' LE32B7000"
> [7] "SMART TV 32'' LE32K5000N" "TV LED
FHD 55\" -\nLE55B8000"
> [9] " LE40B8000 " " LE24B8000
"
> [11] "TV LED FULL HD 42'' TC-42AS610"
"TELEVISOR LED LE50K5000N 50\""
> [13] "SMART TV LED UHD 40\" 40JU6500" "SMART TV
ULTRA HD 48''
> 48JU6500"
> [15] " 50JU6500 " "SMART TV ULTRA
HD 55''
> 3D\n55JS9000"
> [17] "SMART TV LED UHD 55\" 55JU6500" "SMART TV
ULTRA HD 55''
> 55JU6700"
> [19] " 55JU7500 " "SMART TV ULTRA
HD 65''\n3D
> 65JS9000"
>
> >
>
> That shows all your failures. You can incremetally fix them I suppose.
>
> --
> David.
> > 3.- An so on with all types of IDs in product column.
> >
> > I think it can be achieve with some ifelse construction I think...
> that's why my initial lines of code.
> >
> > Any hint is welcome.
> >
> >
> >
> >
> >
> >
> >
> > 2015-10-09 15:37 GMT-05:00 David Winsemius <dwinsemius at
comcast.net>:
> >
> > On Oct 9, 2015, at 12:59 PM, Omar Andr? Gonz?les D?az wrote:
> >
> > > I need to extract an ID from the product column of my df.
> > >
> > > I was able to extract the ids for some scenearios, but when
applying my
> > > code for the next type of ids (there are some other
combinations), the
> > > results of my first line of code got NAs.
> > >
> > >
> > > ripley.tv$id <- sub("(.*)(
[0-9]{2}[a-z]{1}[0-9]{4})(.*)", "\\2",
> > > ripley.tv$producto,
> > > ignore.case = T)
> >
> > I think you need to examine the implicit logic of your pattern
argument
> against the realities of your data:
> >
> > > as.matrix(head(ripley.tv$producto, 10))
> > [,1]
> > [1,] "SMART TV LED FHD 48\" 3D\n48J6400"
> > [2,] "SMART TV LED FHD 40\" 40J5300"
> > [3,] "TV LED FULL HD 40'' TC-40CS600L"
> > [4,] "TELEVISOR LED LE28F6600 28\""
> > [5,] "SMART TV 40\" HD LE40K5000N"
> > [6,] "TV LED HD 32'' LE32B7000"
> > [7,] "SMART TV 32'' LE32K5000N"
> > [8,] "TV LED FHD 55\" -\nLE55B8000"
> > [9,] "TV LED LE40B8000 FULL HD 40\""
> > [10,] "TV LE24B8000 LED HD 24\" - NEGRO"
> >
> > So the first value and most of the other values do not have a space
> before the segment of characters that you want to match, The third item has
> two character inside the flanking numbers.
> >
> > I tried fixing that by removing the space and putting in optional
length
> values and discovered that some of you id's have only 3 trailing
> digit-characters:
> >
> > head( sub("(.*)([0-9]{2}[a-z]{1,2}[0-9]{4})(.*)",
"\\2",
> > ripley.tv$producto,
> > ignore.case = T), 20
> > )
> > #-----------
> > [1] "48J6400" "40J5300"
> > [3] "TV LED FULL HD 40'' TC-40CS600L"
"28F6600"
> > [5] "40K5000" "32B7000"
> > [7] "32K5000" "55B8000"
> > [9] "40B8000" "24B8000"
> > [11] "TV LED FULL HD 42'' TC-42AS610"
"50K5000"
> > [13] "40JU6500" "48JU6500"
> > [15] "50JU6500" "55JS9000"
> > [17] "55JU6500" "55JU6700"
> > [19] "55JU7500" "65JS9000"
> >
> > head( sub("(.*)([0-9]{2}[a-z]{1,2}[0-9]{3,4})(.*)",
"\\2",
> > ripley.tv$producto,
> > ignore.case = T), 20
> > )
> > #--------------
> > [1] "48J6400" "40J5300" "40CS600"
"28F6600" "40K5000" "32B7000"
> > [7] "32K5000" "55B8000" "40B8000"
"24B8000" "42AS610" "50K5000"
> > [13] "40JU6500" "48JU6500" "50JU6500"
"55JS9000" "55JU6500" "55JU6700"
> > [19] "55JU7500" "65JS9000"
> >
> > >
> > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{2}[0-9]{4}
)(.*)", "\\2",
> > > ripley.tv$producto,
> > > ignore.case = T)
> > >
> > > ripley.tv$id <- sub("(.*)(
[a-z]{2}[0-9]{2}[a-z]{1}[0-9]{4} )(.*)",
> "\\2",
> > > ripley.tv$producto, ignore.case = T)
> > >
> > >
> > > Also I've tried to use the ifelse function, but got
"/2" as result.
> >
> > I think you will find that `ifelse` delivers strange results when used
> with factors as values. It strips attributes.
> >
> >
> >
> > --
> > david.
> > >
> > >
> > > ripley.tv <- ripley.tv %>%
> > > mutate(id = NA,
> > > id =
ifelse(grepl("(.*)([0-9]{2}[A-Z]{1}[0-9]{4})(.*)",
> > > ripley.tv$producto) == T, "\\2",id),
> > > id =
ifelse(grepl("(.*)([0-9]{2}[A-Z]{2}[0-9]{4})(.*)",
> > > ripley.tv$producto) == T, "\\2",id),
> > > id > > >
ifelse(grepl("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4})(.*)", ripley.tv
> $producto)
> > > == T, "\\2",id))
> > >
> > >
> > >
> > > And also str_extract:
> > >
> > >
> > > ripley.tv$id <- str_extract(ripley.tv$producto,
> "[0-9]{2}[A-Z]{1}[0-9]{4}")
> > > ripley.tv$id <- str_extract(ripley.tv$producto,
> "[0-9]{2}[A-Z]{2}[0-9]{4}")
> > > ripley.tv$id <- str_extract(ripley.tv$producto,
> > > "[A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4}")
> > >
> > > This is my data:
> > >
> > >
> > > ripley.tv <- structure(list(id = c(NA, NA, NA, NA, NA, NA, NA,
NA,
> NA, NA,
> > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
> > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
> > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
> > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
> > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
> > > NA, NA, NA, NA, NA, NA, NA), marca = c("SAMSUNG",
"SAMSUNG",
> > > "PANASONIC", "HAIER", "HAIER",
"HAIER", "HAIER", "HAIER", "HAIER",
> > > "HAIER", "PANASONIC", "HAIER",
"SAMSUNG", "SAMSUNG", "SAMSUNG",
> > > "SAMSUNG", "SAMSUNG", "SAMSUNG",
"SAMSUNG", "SAMSUNG", "SAMSUNG",
> > > "SAMSUNG", "SAMSUNG", "LG",
"LG", "LG", "LG", "LG", "LG",
"LG",
> > > "LG", "LG", "LG", "LG",
"LG", "LG", "PANASONIC", "PANASONIC",
> > > "LG", "LG", "LG", "SONY",
"SONY", "SONY", "SAMSUNG", "SAMSUNG",
> > > "SAMSUNG", "SAMSUNG", "SAMSUNG",
"SAMSUNG", "SONY", "SONY", "SAMSUNG",
> > > "SAMSUNG", "LG", "LG",
"LG", "SONY", "SAMSUNG", "AOC",
"PANASONIC",
> > > "SONY", "LG", "AOC",
"LG", "SONY", "SONY", "SONY",
"SONY", "SONY",
> > > "SONY", "SHARP", "SHARP",
"SHARP", "SAMSUNG", "LG", "LG",
"LG",
> > > "LG", "SAMSUNG", "SONY",
"LG", "LG", "LG", "LG", "LG",
"PANASONIC",
> > > "SONY", "SHARP", "SONY",
"PANASONIC", "SONY", "SAMSUNG", "AOC",
> > > "PANASONIC", "SHARP", "AOC"),
producto = c("SMART TV LED FHD 48\" 3D
> > > 48J6400",
> > > "SMART TV LED FHD 40\" 40J5300", "TV LED FULL
HD 40'' TC-40CS600L",
> > > "TELEVISOR LED LE28F6600 28\"", "SMART TV
40\" HD LE40K5000N",
> > > "TV LED HD 32'' LE32B7000", "SMART TV
32'' LE32K5000N", "TV LED FHD
> 55\" -
> > > LE55B8000",
> > > "TV LED LE40B8000 FULL HD 40\"", "TV
LE24B8000 LED HD 24\" - NEGRO",
> > > "TV LED FULL HD 42'' TC-42AS610",
"TELEVISOR LED LE50K5000N 50\"",
> > > "SMART TV LED UHD 40\" 40JU6500", "SMART TV
ULTRA HD 48'' 48JU6500",
> > > "SMART TV 50JU6500 LED UHD 50\" - NEGRO",
"SMART TV ULTRA HD 55'' 3D
> > > 55JS9000",
> > > "SMART TV LED UHD 55\" 55JU6500", "SMART TV
ULTRA HD 55'' 55JU6700",
> > > "SMART TV CURVO 55JU7500 LED UHD 55\" 3D - NEGRO",
"SMART TV ULTRA HD
> 65''
> > > 3D 65JS9000",
> > > "SMART TV 65JU6500 LED UHD 65\"", "SMART TV
ULTRA HD 65'' 65JU7500",
> > > "SMART TV LED UHD 75\" 75JU6500", "SMART TV
WEB OS 40\" FULL HD
> 40LF6350",
> > > "SMART TV 3D 42\" FULL HD 42LF6400", "TV LED
42\" FULL HD CINEMA 3D
> > > 42LF6450",
> > > "TV LED 49\" FULL HD CINEMA 3D 49LF6450",
"SMART TV LF6400 49\" FULL HD
> > > 3D",
> > > "TV 43UF6750 43\" ULTRA HD 4K", "TV 49\"
ULTRA HD 4K 49UF6750",
> > > "TV LED 49\" ULTRA HD SMART UF6900", "SMART
TV 49UF7700 49\" ULTRA HD
> 4K",
> > > "SMART TV 49UF8500 49\" ULTRA HD 4K 3D", "TV
LED 55\" CINEMA 3D SMART
> TV
> > > 55UF7700",
> > > "SMART TV 65UF7700 65\" ULTRA HD 4K", "SMART
TV 55UF8500 55\" ULTRA HD
> 4K
> > > 3D",
> > > "TV LED 55\" ULTRA HD 4K SMART TC-55CX640W",
"TV LED 50\" ULTRA HD 4K
> SMART
> > > TC-50CX640W",
> > > "SMART TV 70UF7700 3D ULTRA HD 70\"", "TV LED
CURVO 65\" ULTRA HD 4K
> CINEMA
> > > SMART UG8700",
> > > "TV LED 60\" FULL HD SMART LF6350", "SMART TV
KDL-50FA95C 50\" FULL HD
> 3D",
> > > "SMART TV KDL50W805C 50\" FULL HD 3D", "TV
LED 40\" FULL HD
> KDL-40R354B",
> > > "SMART TV LED FULL HD 40'' 40J5500",
"SMART TV LED FULL HD 50''
> 50J5500",
> > > "TV LED HD 32'' 32JH4005", "SMART TV LED
FULL HD 50\" 50J5300",
> > > "SMART TV LED 48\" FULL HD 48J5300", "SMART
TV FULL HD 40'' 3D
> 40J6400",
> > > "TV LED 32\" HD SMART KDL-32R505C", "TV LED
40\" SMART FULL HD
> KDL-40R555C
> > > - NEGRO",
> > > "SMART TV LED FHD 55\" 3D 55J6400", "TV
40JH5005 LED FHD 40\" - NEGRO",
> > > "TV 43\" FULL HD 43LF5410", "SMART TV
32LF585B LED HD 32\" - BLANCO",
> > > "TV LED 49\" FULL HD SMART 49LF5900", "SMART
TV 65\" FULL HD 3D
> > > KDL-65W855C",
> > > "SMART TV LED FHD 48\" UN48J6500", "TV LED
40\" FULL HD LE40F1551",
> > > "TV LED 32'' SMART HD TC-32AS600L", "TV
LED 32'' HD KDL-32R304B",
> > > "TV OLED 55\" SMART 3D FULL HD 55EC9300 PLATEADO",
"TV LED HD 32''
> > > LE32W454F",
> > > "TV LED 58\" ULTRA HD SMART 58UF8300", "TV
LED 55\" FULL HD SMART 3D
> > > KDL-55W805C",
> > > "TV LED 49\" ULTRA HD 4K XBR-49X835C", "TV
LED 55\" ULTRA HD 4K
> > > XBR-55X855C",
> > > "TV LED ULTRA DELGADO 55\" ULTRA HD 4K
XBR-65X905C", "TV LED 75\"
> ULTRA HD
> > > 4K 3D XBR-75X945C",
> > > "TV LED ULTRA DELGADO 55\" ULTRA HD 4K
XBR-55X905C", "SMART TV LED 60''
> > > ULTRA HD 4K LC60UE30U",
> > > "SMART TV LED 70'' ULTRA HD 4K LC70UE30U",
"SMART TV LED 80'' ULTRA HD
> 4K
> > > LC80UE30U",
> > > "SMART TV LED FULL HD 48'' 48J5500",
"SMART TV CURVO 79UG8800 79\"
> ULTRA HD
> > > 4K 3D",
> > > "SMART TV 65UF9500 65\" ULTRA HD 4K 3D",
"SMART TV 65UF8500 65\" ULTRA
> HD
> > > 4K 3D",
> > > "SMART TV 55UF9500 55\" ULTRA HD 4K 3D",
"SMART TV LED HD 32\"
> 32J4300",
> > > "TV LED 48\" SMART FULL HD KDL-48R555C - NEGRO",
"SMART TV 55UG8700
> 55\"
> > > ULTRA HD 4K 3D",
> > > "SMART TV 60UF8500 60\" ULTRA HD 4K 3D",
"SMART TV 55LF6500 55\" FULL
> HD
> > > 3D",
> > > "TV 32LF550B 32\" HD", "TV LED 47\" FULL
HD 47LB5610", "TV LED FULL HD
> 50''
> > > TC-50AS600L",
> > > "TV SMART LED 55\" UHD 3D XBR-55X855B", "TV
LED FULL HD 4K LC70SQ17U
> 70''",
> > > "TV LED SMART UHD 79\" XBR-79X905B", "TV LED
FULL HD 40'' TC-40A400L",
> > > "TV LED SMART UHD 70\" XBR-70X855B", "SMART
TV UHD 55'' 3D CURVO
> 55HU8700",
> > > "TV FULL HD LE40D3142 40\" - NEGRO",
"TELEVISOR LED 42\" TC-42AS650L",
> > > "SMART TV LCD FHD 70\" LC70LE660", "TV LED
FULL HD 58'' LE58D3140"
> > > ), pulgadas = c(48L, 40L, 40L, 28L, 40L, 32L, 32L, 55L, 40L,
> > > 24L, 42L, 50L, 40L, 48L, 50L, 55L, 55L, 55L, 55L, 65L, 65L, 65L,
> > > 75L, 40L, 42L, 42L, 49L, 49L, 43L, 49L, 49L, 49L, 49L, 55L, 65L,
> > > 55L, 55L, 50L, 70L, 65L, 60L, 50L, 50L, 40L, 40L, 50L, 32L, 50L,
> > > 48L, 40L, 32L, 40L, 55L, 40L, 43L, 32L, 49L, 65L, 48L, 40L, 32L,
> > > 32L, 55L, 32L, 58L, 55L, 49L, 55L, 55L, 75L, 55L, 60L, 70L, 80L,
> > > 48L, 79L, 65L, 65L, 55L, 32L, 48L, 55L, 60L, 55L, 32L, 47L, 50L,
> > > 55L, 70L, 79L, 40L, 70L, 55L, 40L, 42L, 70L, 58L), precio.antes
> c(2799L,
> > > 1799L, 1699L, 599L, 1299L, 699L, 999L, 1999L, 999L, 499L, 1899L,
> > > 1799L, 2499L, 3999L, 3699L, 10999L, 4299L, 5499L, 6999L, 14999L,
> > > 8999L, 9999L, 14599L, 1999L, 2299L, 2299L, 2899L, 2999L, 2299L,
> > > 23992L, 3599L, 3799L, 4799L, 4999L, 8499L, 5999L, 4999L, 3999L,
> > > 11999L, 10999L, 4399L, 4499L, 3799L, 1399L, 2299L, 2799L, 999L,
> > > 2199L, 2299L, 2299L, 1299L, 1699L, 3499L, 1399L, 1549L, 1299L,
> > > 2399L, 6499L, 2999L, 999L, 1249L, 999L, 14999L, 799L, 5999L,
> > > 4499L, 4999L, 6499L, 12999L, 24999L, 8999L, 5999L, 7599L, 14999L,
> > > 2499L, 29999L, 13999L, 9999L, 9699L, 1299L, 2399L, 6999L, 7999L,
> > > 3699L, 999L, 1899L, 2999L, 7999L, 8499L, 24999L, 1399L, 13999L,
> > > 8499L, 999L, 2599L, 5799L, 2399L), precio.nuevo = c(2299, 1399,
> > > 1299, 549, 1099, 629, 799, 1699, 849, 439, 1499, 1549, 1759.2,
> > > 2099.3, 2309.3, 7699.3, 2799.3, 3639.3, 4899.3, 10499.3, 5109.3,
> > > 6999.3, 10219.3, 1399, 1599, 1599, 2199, 2199, 1299, 23992, 2299,
> > > 2299, 2899, 2999, 5999, 3899, 4999, 3999, 8999, 6999, 4099, 3999,
> > > 3499, 1299, 1799, 2399, 799, 2199, 1799, 1999, 1199, 1599, 2999,
> > > 1199, 1399, 1099, 1999, 5999, 2799, 999, 1199, 949, 7999, 799,
> > > 5299, 4299, 3999, 5999, 11999, 23999, 7999, 5699, 7599, 14499,
> > > 2399, 29999, 11999, 8999, 7499, 1099, 2199, 6599, 7099, 3599,
> > > 899, 1599, 2199, 4999, 6499, 19999, 1399, 9999, 5999, 999, 2599,
> > > 5699, 2399), dif.precios = c(500, 400, 400, 50, 200, 70, 200,
> > > 300, 150, 60, 400, 250, 739.8, 1899.7, 1389.7, 3299.7, 1499.7,
> > > 1859.7, 2099.7, 4499.7, 3889.7, 2999.7, 4379.7, 600, 700, 700,
> > > 700, 800, 1000, 0, 1300, 1500, 1900, 2000, 2500, 2100, 0, 0,
> > > 3000, 4000, 300, 500, 300, 100, 500, 400, 200, 0, 500, 300, 100,
> > > 100, 500, 200, 150, 200, 400, 500, 200, 0, 50, 50, 7000, 0, 700,
> > > 200, 1000, 500, 1000, 1000, 1000, 300, 0, 500, 100, 0, 2000,
> > > 1000, 2200, 200, 200, 400, 900, 100, 100, 300, 800, 3000, 2000,
> > > 5000, 0, 4000, 2500, 0, 0, 100, 0), dif.porcentual = c(17.86,
> > > 22.23, 23.54, 8.35, 15.4, 10.01, 20.02, 15.01, 15.02, 12.02,
> > > 21.06, 13.9, 29.6, 47.5, 37.57, 30, 34.88, 33.82, 30, 30, 43.22,
> > > 30, 30, 30.02, 30.45, 30.45, 24.15, 26.68, 43.5, 0, 36.12, 39.48,
> > > 39.59, 40.01, 29.42, 35.01, 0, 0, 25, 36.37, 6.82, 11.11, 7.9,
> > > 7.15, 21.75, 14.29, 20.02, 0, 21.75, 13.05, 7.7, 5.89, 14.29,
> > > 14.3, 9.68, 15.4, 16.67, 7.69, 6.67, 0, 4, 5.01, 46.67, 0, 11.67,
> > > 4.45, 20, 7.69, 7.69, 4, 11.11, 5, 0, 3.33, 4, 0, 14.29, 10,
> > > 22.68, 15.4, 8.34, 5.72, 11.25, 2.7, 10.01, 15.8, 26.68, 37.5,
> > > 23.53, 20, 0, 28.57, 29.42, 0, 0, 1.72, 0), rangos =
c("S/.1500 -
> S/.2500",
> > > "S/.500 - S/.1500", "S/.500 - S/.1500",
"S/.500 - S/.1500", "S/.500 -
> > > S/.1500",
> > > "S/.500 - S/.1500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
> > > "S/.500 - S/.1500", "< S/.500",
"S/.500 - S/.1500", "S/.1500 -
> S/.2500",
> > > "S/.1500 - S/.2500", "S/.1500 - S/.2500",
"S/.1500 - S/.2500",
> > > "> S/.4,500", "S/.2500 - S/.3500",
"S/.3500 - S/.4500", "> S/.4,500",
> > > "> S/.4,500", "> S/.4,500", ">
S/.4,500", "> S/.4,500", "S/.500 -
> S/.1500",
> > > "S/.1500 - S/.2500", "S/.1500 - S/.2500",
"S/.1500 - S/.2500",
> > > "S/.1500 - S/.2500", "S/.500 - S/.1500",
"> S/.4,500", "S/.1500 -
> S/.2500",
> > > "S/.1500 - S/.2500", "S/.2500 - S/.3500",
"S/.2500 - S/.3500",
> > > "> S/.4,500", "S/.3500 - S/.4500",
"> S/.4,500", "S/.3500 - S/.4500",
> > > "> S/.4,500", "> S/.4,500",
"S/.3500 - S/.4500", "S/.3500 - S/.4500",
> > > "S/.2500 - S/.3500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
> > > "S/.1500 - S/.2500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
> > > "S/.1500 - S/.2500", "S/.1500 - S/.2500",
"S/.500 - S/.1500",
> > > "S/.1500 - S/.2500", "S/.2500 - S/.3500",
"S/.500 - S/.1500",
> > > "S/.500 - S/.1500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
> > > "> S/.4,500", "S/.2500 - S/.3500",
"S/.500 - S/.1500", "S/.500 -
> S/.1500",
> > > "S/.500 - S/.1500", "> S/.4,500",
"S/.500 - S/.1500", "> S/.4,500",
> > > "S/.3500 - S/.4500", "S/.3500 - S/.4500",
"> S/.4,500", "> S/.4,500",
> > > "> S/.4,500", "> S/.4,500", ">
S/.4,500", "> S/.4,500", "> S/.4,500",
> > > "S/.1500 - S/.2500", "> S/.4,500",
"> S/.4,500", "> S/.4,500",
> > > "> S/.4,500", "S/.500 - S/.1500",
"S/.1500 - S/.2500", "> S/.4,500",
> > > "> S/.4,500", "S/.3500 - S/.4500",
"S/.500 - S/.1500", "S/.1500 -
> S/.2500",
> > > "S/.1500 - S/.2500", "> S/.4,500",
"> S/.4,500", "> S/.4,500",
> > > "S/.500 - S/.1500", "> S/.4,500",
"> S/.4,500", "S/.500 - S/.1500",
> > > "S/.2500 - S/.3500", "> S/.4,500",
"S/.1500 - S/.2500")), .Names > c("id",
> > > "marca", "producto", "pulgadas",
"precio.antes", "precio.nuevo",
> > > "dif.precios", "dif.porcentual",
"rangos"), class = "data.frame",
> row.names
> > > = c(NA,
> > > -97L))
> > >
> > > [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more,
see
> > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > > and provide commented, minimal, self-contained, reproducible
code.
> >
> > David Winsemius
> > Alameda, CA, USA
> >
> >
>
> David Winsemius
> Alameda, CA, USA
>
>
[[alternative HTML version deleted]]
On Oct 9, 2015, at 2:48 PM, Omar Andr? Gonz?les D?az wrote:> Thank you, David. You put me in the right direction. > > At the end, I've used a lot of lines, to my taste, for this task. > > Is there a more elegant way, of doing this?There are conditional capture-classes in rexex in addition to the variable span {.,.} operators, but when I suggested using more general patterns, you turned them down, with a desire for the more incremental approach. his pattern extracts a larger number of cases: sub("(.*)([a-z]{0,3}[-]{0,1}[0-9]{2}[a-z]{1,2}[0-9]{2,4}[a-z]{0,1})(.*)", "\\2", ripley.tv$producto, ignore.case = T) If I take out the leading space in the capture group then I get all cases extracted but it trims down the size of many of them. This with a trailing character class that has space or "\n" as an separator seems to be very successfull in one pass: sub("(.*[ \n])([a-z]{0,3}[-]{0,1}[0-9]{0,2}[a-z]{1,2}[0-9]{2,4}[a-z]{0,1})(.*)", "\\2", ripley.tv$producto, ignore.case = T) [1] "48J6400" "40J5300" "TC-40CS600L" "LE28F6600" "LE40K5000N" [6] "LE32B7000" "LE32K5000N" "LE55B8000" "LE40B8000" "LE24B8000" [11] "TC-42AS610" "LE50K5000N" "40JU6500" "48JU6500" "50JU6500" [16] "55JS9000" "55JU6500" "55JU6700" "55JU7500" "65JS9000" [21] "65JU6500" "65JU7500" "75JU6500" "40LF6350" "42LF6400" [26] "42LF6450" "49LF6450" "LF6400" "43UF6750" "49UF6750" [31] "UF6900" "49UF7700" "49UF8500" "55UF7700" "65UF7700" [36] "55UF8500" "TC-55CX640W" "TC-50CX640W" "70UF7700" "UG8700" [41] "LF6350" "KDL-50FA95C" "KDL50W805C" "KDL-40R354B" "40J5500" [46] "50J5500" "32JH4005" "50J5300" "48J5300" "40J6400" [51] "KDL-32R505C" "KDL-40R555C" "55J6400" "40JH5005" "43LF5410" [56] "32LF585B" "49LF5900" "KDL-65W855C" "UN48J6500" "LE40F1551" [61] "TC-32AS600L" "KDL-32R304B" "55EC9300" "LE32W454F" "58UF8300" [66] "KDL-55W805C" "XBR-49X835C" "XBR-55X855C" "XBR-65X905C" "XBR-75X945C" [71] "XBR-55X905C" "LC60UE30U" "LC70UE30U" "LC80UE30U" "48J5500" [76] "79UG8800" "65UF9500" "65UF8500" "55UF9500" "32J4300" [81] "KDL-48R555C" "55UG8700" "60UF8500" "55LF6500" "32LF550B" [86] "47LB5610" "TC-50AS600L" "XBR-55X855B" "LC70SQ17U" "XBR-79X905B" [91] "TC-40A400L" "XBR-70X855B" "55HU8700" "LE40D3142" "TC-42AS650L" [96] "LC70LE660" "LE58D3140">-- David> > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{1}[0-9]{4})(.*)", "\\2", > ripley.tv$producto, > ignore.case = T) > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{2}[0-9]{4} )(.*)", "\\2", > ripley.tv$id, > ignore.case = T) > > ripley.tv$id <- sub("(.*)( [a-z]{2}[0-9]{2}[a-z]{1}[0-9]{4} )(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > > ripley.tv$id <- sub("(.*)([A-Z]{2}\\-[0-9]{2}[A-Z]{2}[0-9]{3}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{2}\\-[0-9]{2}[A-Z]{2}[0-9]{3})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([0-9]{2}[A-Z]{2}[0-9]{4})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{4})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{3}\\-[0-9]{2}[A-Z]{2}[0-9]{2}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{3}[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([A-Z]{3}\\-[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > ripley.tv$id <- sub("(.*)([0-9]{2}[A-Z]{2}[0-9]{3}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > > ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{2}[0-9]{2}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > > ripley.tv$id <- sub("(.*)([A-Z]{2}\\-[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > > ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{3}[A-Z]{1})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > > ripley.tv$id <- sub("(.*)([A-Z]{2}[0-9]{2}[A-Z]{2}[0-9]{3})(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > 2015-10-09 16:16 GMT-05:00 David Winsemius <dwinsemius at comcast.net>: > > On Oct 9, 2015, at 1:50 PM, Omar Andr? Gonz?les D?az wrote: > > > David, > > > > this is a working case. I know that all cases for ID are not covered with my current code. > > > > The question is: > > > > ID stars as NAs. > > > > 1.- How to extract 1 type of ID, and keep the rest of entries as they are. > > > > 2.- Then keep the first extraction, and search for second type of ID. > > If you want to use that workflow then you can replace $id with teh output of sub on $procuto the first time and then contiue workign on the results using $id as the input. The sub function returns the original values when there is no match. > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{1}[0-9]{4})(.*)", "\\2", > ripley.tv$producto, > ignore.case = T) > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{2}[0-9]{4} )(.*)", "\\2", > ripley.tv$id, > ignore.case = T) > > ripley.tv$id <- sub("(.*)( [a-z]{2}[0-9]{2}[a-z]{1}[0-9]{4} )(.*)", "\\2", > ripley.tv$id, ignore.case = T) > > > head(ripley.tv$id, 20) > [1] "SMART TV LED FHD 48\" 3D\n48J6400" " 40J5300" > [3] "TV LED FULL HD 40'' TC-40CS600L" " LE28F6600 " > [5] "SMART TV 40\" HD LE40K5000N" "TV LED HD 32'' LE32B7000" > [7] "SMART TV 32'' LE32K5000N" "TV LED FHD 55\" -\nLE55B8000" > [9] " LE40B8000 " " LE24B8000 " > [11] "TV LED FULL HD 42'' TC-42AS610" "TELEVISOR LED LE50K5000N 50\"" > [13] "SMART TV LED UHD 40\" 40JU6500" "SMART TV ULTRA HD 48'' 48JU6500" > [15] " 50JU6500 " "SMART TV ULTRA HD 55'' 3D\n55JS9000" > [17] "SMART TV LED UHD 55\" 55JU6500" "SMART TV ULTRA HD 55'' 55JU6700" > [19] " 55JU7500 " "SMART TV ULTRA HD 65''\n3D 65JS9000" > > > > > That shows all your failures. You can incremetally fix them I suppose. > > -- > David. > > 3.- An so on with all types of IDs in product column. > > > > I think it can be achieve with some ifelse construction I think... that's why my initial lines of code. > > > > Any hint is welcome. > > > > > > > > > > > > > > > > 2015-10-09 15:37 GMT-05:00 David Winsemius <dwinsemius at comcast.net>: > > > > On Oct 9, 2015, at 12:59 PM, Omar Andr? Gonz?les D?az wrote: > > > > > I need to extract an ID from the product column of my df. > > > > > > I was able to extract the ids for some scenearios, but when applying my > > > code for the next type of ids (there are some other combinations), the > > > results of my first line of code got NAs. > > > > > > > > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{1}[0-9]{4})(.*)", "\\2", > > > ripley.tv$producto, > > > ignore.case = T) > > > > I think you need to examine the implicit logic of your pattern argument against the realities of your data: > > > > > as.matrix(head(ripley.tv$producto, 10)) > > [,1] > > [1,] "SMART TV LED FHD 48\" 3D\n48J6400" > > [2,] "SMART TV LED FHD 40\" 40J5300" > > [3,] "TV LED FULL HD 40'' TC-40CS600L" > > [4,] "TELEVISOR LED LE28F6600 28\"" > > [5,] "SMART TV 40\" HD LE40K5000N" > > [6,] "TV LED HD 32'' LE32B7000" > > [7,] "SMART TV 32'' LE32K5000N" > > [8,] "TV LED FHD 55\" -\nLE55B8000" > > [9,] "TV LED LE40B8000 FULL HD 40\"" > > [10,] "TV LE24B8000 LED HD 24\" - NEGRO" > > > > So the first value and most of the other values do not have a space before the segment of characters that you want to match, The third item has two character inside the flanking numbers. > > > > I tried fixing that by removing the space and putting in optional length values and discovered that some of you id's have only 3 trailing digit-characters: > > > > head( sub("(.*)([0-9]{2}[a-z]{1,2}[0-9]{4})(.*)", "\\2", > > ripley.tv$producto, > > ignore.case = T), 20 > > ) > > #----------- > > [1] "48J6400" "40J5300" > > [3] "TV LED FULL HD 40'' TC-40CS600L" "28F6600" > > [5] "40K5000" "32B7000" > > [7] "32K5000" "55B8000" > > [9] "40B8000" "24B8000" > > [11] "TV LED FULL HD 42'' TC-42AS610" "50K5000" > > [13] "40JU6500" "48JU6500" > > [15] "50JU6500" "55JS9000" > > [17] "55JU6500" "55JU6700" > > [19] "55JU7500" "65JS9000" > > > > head( sub("(.*)([0-9]{2}[a-z]{1,2}[0-9]{3,4})(.*)", "\\2", > > ripley.tv$producto, > > ignore.case = T), 20 > > ) > > #-------------- > > [1] "48J6400" "40J5300" "40CS600" "28F6600" "40K5000" "32B7000" > > [7] "32K5000" "55B8000" "40B8000" "24B8000" "42AS610" "50K5000" > > [13] "40JU6500" "48JU6500" "50JU6500" "55JS9000" "55JU6500" "55JU6700" > > [19] "55JU7500" "65JS9000" > > > > > > > > ripley.tv$id <- sub("(.*)( [0-9]{2}[a-z]{2}[0-9]{4} )(.*)", "\\2", > > > ripley.tv$producto, > > > ignore.case = T) > > > > > > ripley.tv$id <- sub("(.*)( [a-z]{2}[0-9]{2}[a-z]{1}[0-9]{4} )(.*)", "\\2", > > > ripley.tv$producto, ignore.case = T) > > > > > > > > > Also I've tried to use the ifelse function, but got "/2" as result. > > > > I think you will find that `ifelse` delivers strange results when used with factors as values. It strips attributes. > > > > > > > > -- > > david. > > > > > > > > > ripley.tv <- ripley.tv %>% > > > mutate(id = NA, > > > id = ifelse(grepl("(.*)([0-9]{2}[A-Z]{1}[0-9]{4})(.*)", > > > ripley.tv$producto) == T, "\\2",id), > > > id = ifelse(grepl("(.*)([0-9]{2}[A-Z]{2}[0-9]{4})(.*)", > > > ripley.tv$producto) == T, "\\2",id), > > > id > > > ifelse(grepl("(.*)([A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4})(.*)", ripley.tv$producto) > > > == T, "\\2",id)) > > > > > > > > > > > > And also str_extract: > > > > > > > > > ripley.tv$id <- str_extract(ripley.tv$producto, "[0-9]{2}[A-Z]{1}[0-9]{4}") > > > ripley.tv$id <- str_extract(ripley.tv$producto, "[0-9]{2}[A-Z]{2}[0-9]{4}") > > > ripley.tv$id <- str_extract(ripley.tv$producto, > > > "[A-Z]{2}[0-9]{2}[A-Z]{1}[0-9]{4}") > > > > > > This is my data: > > > > > > > > > ripley.tv <- structure(list(id = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, > > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, > > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, > > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, > > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, > > > NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, > > > NA, NA, NA, NA, NA, NA, NA), marca = c("SAMSUNG", "SAMSUNG", > > > "PANASONIC", "HAIER", "HAIER", "HAIER", "HAIER", "HAIER", "HAIER", > > > "HAIER", "PANASONIC", "HAIER", "SAMSUNG", "SAMSUNG", "SAMSUNG", > > > "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", > > > "SAMSUNG", "SAMSUNG", "LG", "LG", "LG", "LG", "LG", "LG", "LG", > > > "LG", "LG", "LG", "LG", "LG", "LG", "PANASONIC", "PANASONIC", > > > "LG", "LG", "LG", "SONY", "SONY", "SONY", "SAMSUNG", "SAMSUNG", > > > "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SONY", "SONY", "SAMSUNG", > > > "SAMSUNG", "LG", "LG", "LG", "SONY", "SAMSUNG", "AOC", "PANASONIC", > > > "SONY", "LG", "AOC", "LG", "SONY", "SONY", "SONY", "SONY", "SONY", > > > "SONY", "SHARP", "SHARP", "SHARP", "SAMSUNG", "LG", "LG", "LG", > > > "LG", "SAMSUNG", "SONY", "LG", "LG", "LG", "LG", "LG", "PANASONIC", > > > "SONY", "SHARP", "SONY", "PANASONIC", "SONY", "SAMSUNG", "AOC", > > > "PANASONIC", "SHARP", "AOC"), producto = c("SMART TV LED FHD 48\" 3D > > > 48J6400", > > > "SMART TV LED FHD 40\" 40J5300", "TV LED FULL HD 40'' TC-40CS600L", > > > "TELEVISOR LED LE28F6600 28\"", "SMART TV 40\" HD LE40K5000N", > > > "TV LED HD 32'' LE32B7000", "SMART TV 32'' LE32K5000N", "TV LED FHD 55\" - > > > LE55B8000", > > > "TV LED LE40B8000 FULL HD 40\"", "TV LE24B8000 LED HD 24\" - NEGRO", > > > "TV LED FULL HD 42'' TC-42AS610", "TELEVISOR LED LE50K5000N 50\"", > > > "SMART TV LED UHD 40\" 40JU6500", "SMART TV ULTRA HD 48'' 48JU6500", > > > "SMART TV 50JU6500 LED UHD 50\" - NEGRO", "SMART TV ULTRA HD 55'' 3D > > > 55JS9000", > > > "SMART TV LED UHD 55\" 55JU6500", "SMART TV ULTRA HD 55'' 55JU6700", > > > "SMART TV CURVO 55JU7500 LED UHD 55\" 3D - NEGRO", "SMART TV ULTRA HD 65'' > > > 3D 65JS9000", > > > "SMART TV 65JU6500 LED UHD 65\"", "SMART TV ULTRA HD 65'' 65JU7500", > > > "SMART TV LED UHD 75\" 75JU6500", "SMART TV WEB OS 40\" FULL HD 40LF6350", > > > "SMART TV 3D 42\" FULL HD 42LF6400", "TV LED 42\" FULL HD CINEMA 3D > > > 42LF6450", > > > "TV LED 49\" FULL HD CINEMA 3D 49LF6450", "SMART TV LF6400 49\" FULL HD > > > 3D", > > > "TV 43UF6750 43\" ULTRA HD 4K", "TV 49\" ULTRA HD 4K 49UF6750", > > > "TV LED 49\" ULTRA HD SMART UF6900", "SMART TV 49UF7700 49\" ULTRA HD 4K", > > > "SMART TV 49UF8500 49\" ULTRA HD 4K 3D", "TV LED 55\" CINEMA 3D SMART TV > > > 55UF7700", > > > "SMART TV 65UF7700 65\" ULTRA HD 4K", "SMART TV 55UF8500 55\" ULTRA HD 4K > > > 3D", > > > "TV LED 55\" ULTRA HD 4K SMART TC-55CX640W", "TV LED 50\" ULTRA HD 4K SMART > > > TC-50CX640W", > > > "SMART TV 70UF7700 3D ULTRA HD 70\"", "TV LED CURVO 65\" ULTRA HD 4K CINEMA > > > SMART UG8700", > > > "TV LED 60\" FULL HD SMART LF6350", "SMART TV KDL-50FA95C 50\" FULL HD 3D", > > > "SMART TV KDL50W805C 50\" FULL HD 3D", "TV LED 40\" FULL HD KDL-40R354B", > > > "SMART TV LED FULL HD 40'' 40J5500", "SMART TV LED FULL HD 50'' 50J5500", > > > "TV LED HD 32'' 32JH4005", "SMART TV LED FULL HD 50\" 50J5300", > > > "SMART TV LED 48\" FULL HD 48J5300", "SMART TV FULL HD 40'' 3D 40J6400", > > > "TV LED 32\" HD SMART KDL-32R505C", "TV LED 40\" SMART FULL HD KDL-40R555C > > > - NEGRO", > > > "SMART TV LED FHD 55\" 3D 55J6400", "TV 40JH5005 LED FHD 40\" - NEGRO", > > > "TV 43\" FULL HD 43LF5410", "SMART TV 32LF585B LED HD 32\" - BLANCO", > > > "TV LED 49\" FULL HD SMART 49LF5900", "SMART TV 65\" FULL HD 3D > > > KDL-65W855C", > > > "SMART TV LED FHD 48\" UN48J6500", "TV LED 40\" FULL HD LE40F1551", > > > "TV LED 32'' SMART HD TC-32AS600L", "TV LED 32'' HD KDL-32R304B", > > > "TV OLED 55\" SMART 3D FULL HD 55EC9300 PLATEADO", "TV LED HD 32'' > > > LE32W454F", > > > "TV LED 58\" ULTRA HD SMART 58UF8300", "TV LED 55\" FULL HD SMART 3D > > > KDL-55W805C", > > > "TV LED 49\" ULTRA HD 4K XBR-49X835C", "TV LED 55\" ULTRA HD 4K > > > XBR-55X855C", > > > "TV LED ULTRA DELGADO 55\" ULTRA HD 4K XBR-65X905C", "TV LED 75\" ULTRA HD > > > 4K 3D XBR-75X945C", > > > "TV LED ULTRA DELGADO 55\" ULTRA HD 4K XBR-55X905C", "SMART TV LED 60'' > > > ULTRA HD 4K LC60UE30U", > > > "SMART TV LED 70'' ULTRA HD 4K LC70UE30U", "SMART TV LED 80'' ULTRA HD 4K > > > LC80UE30U", > > > "SMART TV LED FULL HD 48'' 48J5500", "SMART TV CURVO 79UG8800 79\" ULTRA HD > > > 4K 3D", > > > "SMART TV 65UF9500 65\" ULTRA HD 4K 3D", "SMART TV 65UF8500 65\" ULTRA HD > > > 4K 3D", > > > "SMART TV 55UF9500 55\" ULTRA HD 4K 3D", "SMART TV LED HD 32\" 32J4300", > > > "TV LED 48\" SMART FULL HD KDL-48R555C - NEGRO", "SMART TV 55UG8700 55\" > > > ULTRA HD 4K 3D", > > > "SMART TV 60UF8500 60\" ULTRA HD 4K 3D", "SMART TV 55LF6500 55\" FULL HD > > > 3D", > > > "TV 32LF550B 32\" HD", "TV LED 47\" FULL HD 47LB5610", "TV LED FULL HD 50'' > > > TC-50AS600L", > > > "TV SMART LED 55\" UHD 3D XBR-55X855B", "TV LED FULL HD 4K LC70SQ17U 70''", > > > "TV LED SMART UHD 79\" XBR-79X905B", "TV LED FULL HD 40'' TC-40A400L", > > > "TV LED SMART UHD 70\" XBR-70X855B", "SMART TV UHD 55'' 3D CURVO 55HU8700", > > > "TV FULL HD LE40D3142 40\" - NEGRO", "TELEVISOR LED 42\" TC-42AS650L", > > > "SMART TV LCD FHD 70\" LC70LE660", "TV LED FULL HD 58'' LE58D3140" > > > ), pulgadas = c(48L, 40L, 40L, 28L, 40L, 32L, 32L, 55L, 40L, > > > 24L, 42L, 50L, 40L, 48L, 50L, 55L, 55L, 55L, 55L, 65L, 65L, 65L, > > > 75L, 40L, 42L, 42L, 49L, 49L, 43L, 49L, 49L, 49L, 49L, 55L, 65L, > > > 55L, 55L, 50L, 70L, 65L, 60L, 50L, 50L, 40L, 40L, 50L, 32L, 50L, > > > 48L, 40L, 32L, 40L, 55L, 40L, 43L, 32L, 49L, 65L, 48L, 40L, 32L, > > > 32L, 55L, 32L, 58L, 55L, 49L, 55L, 55L, 75L, 55L, 60L, 70L, 80L, > > > 48L, 79L, 65L, 65L, 55L, 32L, 48L, 55L, 60L, 55L, 32L, 47L, 50L, > > > 55L, 70L, 79L, 40L, 70L, 55L, 40L, 42L, 70L, 58L), precio.antes = c(2799L, > > > 1799L, 1699L, 599L, 1299L, 699L, 999L, 1999L, 999L, 499L, 1899L, > > > 1799L, 2499L, 3999L, 3699L, 10999L, 4299L, 5499L, 6999L, 14999L, > > > 8999L, 9999L, 14599L, 1999L, 2299L, 2299L, 2899L, 2999L, 2299L, > > > 23992L, 3599L, 3799L, 4799L, 4999L, 8499L, 5999L, 4999L, 3999L, > > > 11999L, 10999L, 4399L, 4499L, 3799L, 1399L, 2299L, 2799L, 999L, > > > 2199L, 2299L, 2299L, 1299L, 1699L, 3499L, 1399L, 1549L, 1299L, > > > 2399L, 6499L, 2999L, 999L, 1249L, 999L, 14999L, 799L, 5999L, > > > 4499L, 4999L, 6499L, 12999L, 24999L, 8999L, 5999L, 7599L, 14999L, > > > 2499L, 29999L, 13999L, 9999L, 9699L, 1299L, 2399L, 6999L, 7999L, > > > 3699L, 999L, 1899L, 2999L, 7999L, 8499L, 24999L, 1399L, 13999L, > > > 8499L, 999L, 2599L, 5799L, 2399L), precio.nuevo = c(2299, 1399, > > > 1299, 549, 1099, 629, 799, 1699, 849, 439, 1499, 1549, 1759.2, > > > 2099.3, 2309.3, 7699.3, 2799.3, 3639.3, 4899.3, 10499.3, 5109.3, > > > 6999.3, 10219.3, 1399, 1599, 1599, 2199, 2199, 1299, 23992, 2299, > > > 2299, 2899, 2999, 5999, 3899, 4999, 3999, 8999, 6999, 4099, 3999, > > > 3499, 1299, 1799, 2399, 799, 2199, 1799, 1999, 1199, 1599, 2999, > > > 1199, 1399, 1099, 1999, 5999, 2799, 999, 1199, 949, 7999, 799, > > > 5299, 4299, 3999, 5999, 11999, 23999, 7999, 5699, 7599, 14499, > > > 2399, 29999, 11999, 8999, 7499, 1099, 2199, 6599, 7099, 3599, > > > 899, 1599, 2199, 4999, 6499, 19999, 1399, 9999, 5999, 999, 2599, > > > 5699, 2399), dif.precios = c(500, 400, 400, 50, 200, 70, 200, > > > 300, 150, 60, 400, 250, 739.8, 1899.7, 1389.7, 3299.7, 1499.7, > > > 1859.7, 2099.7, 4499.7, 3889.7, 2999.7, 4379.7, 600, 700, 700, > > > 700, 800, 1000, 0, 1300, 1500, 1900, 2000, 2500, 2100, 0, 0, > > > 3000, 4000, 300, 500, 300, 100, 500, 400, 200, 0, 500, 300, 100, > > > 100, 500, 200, 150, 200, 400, 500, 200, 0, 50, 50, 7000, 0, 700, > > > 200, 1000, 500, 1000, 1000, 1000, 300, 0, 500, 100, 0, 2000, > > > 1000, 2200, 200, 200, 400, 900, 100, 100, 300, 800, 3000, 2000, > > > 5000, 0, 4000, 2500, 0, 0, 100, 0), dif.porcentual = c(17.86, > > > 22.23, 23.54, 8.35, 15.4, 10.01, 20.02, 15.01, 15.02, 12.02, > > > 21.06, 13.9, 29.6, 47.5, 37.57, 30, 34.88, 33.82, 30, 30, 43.22, > > > 30, 30, 30.02, 30.45, 30.45, 24.15, 26.68, 43.5, 0, 36.12, 39.48, > > > 39.59, 40.01, 29.42, 35.01, 0, 0, 25, 36.37, 6.82, 11.11, 7.9, > > > 7.15, 21.75, 14.29, 20.02, 0, 21.75, 13.05, 7.7, 5.89, 14.29, > > > 14.3, 9.68, 15.4, 16.67, 7.69, 6.67, 0, 4, 5.01, 46.67, 0, 11.67, > > > 4.45, 20, 7.69, 7.69, 4, 11.11, 5, 0, 3.33, 4, 0, 14.29, 10, > > > 22.68, 15.4, 8.34, 5.72, 11.25, 2.7, 10.01, 15.8, 26.68, 37.5, > > > 23.53, 20, 0, 28.57, 29.42, 0, 0, 1.72, 0), rangos = c("S/.1500 - S/.2500", > > > "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - > > > S/.1500", > > > "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500", > > > "S/.500 - S/.1500", "< S/.500", "S/.500 - S/.1500", "S/.1500 - S/.2500", > > > "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.1500 - S/.2500", > > > "> S/.4,500", "S/.2500 - S/.3500", "S/.3500 - S/.4500", "> S/.4,500", > > > "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", "S/.500 - S/.1500", > > > "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.1500 - S/.2500", > > > "S/.1500 - S/.2500", "S/.500 - S/.1500", "> S/.4,500", "S/.1500 - S/.2500", > > > "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.2500 - S/.3500", > > > "> S/.4,500", "S/.3500 - S/.4500", "> S/.4,500", "S/.3500 - S/.4500", > > > "> S/.4,500", "> S/.4,500", "S/.3500 - S/.4500", "S/.3500 - S/.4500", > > > "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.1500 - S/.2500", > > > "S/.1500 - S/.2500", "S/.500 - S/.1500", "S/.1500 - S/.2500", > > > "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500", > > > "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.500 - S/.1500", > > > "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500", > > > "> S/.4,500", "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.500 - S/.1500", > > > "S/.500 - S/.1500", "> S/.4,500", "S/.500 - S/.1500", "> S/.4,500", > > > "S/.3500 - S/.4500", "S/.3500 - S/.4500", "> S/.4,500", "> S/.4,500", > > > "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", > > > "S/.1500 - S/.2500", "> S/.4,500", "> S/.4,500", "> S/.4,500", > > > "> S/.4,500", "S/.500 - S/.1500", "S/.1500 - S/.2500", "> S/.4,500", > > > "> S/.4,500", "S/.3500 - S/.4500", "S/.500 - S/.1500", "S/.1500 - S/.2500", > > > "S/.1500 - S/.2500", "> S/.4,500", "> S/.4,500", "> S/.4,500", > > > "S/.500 - S/.1500", "> S/.4,500", "> S/.4,500", "S/.500 - S/.1500", > > > "S/.2500 - S/.3500", "> S/.4,500", "S/.1500 - S/.2500")), .Names = c("id", > > > "marca", "producto", "pulgadas", "precio.antes", "precio.nuevo", > > > "dif.precios", "dif.porcentual", "rangos"), class = "data.frame", row.names > > > = c(NA, > > > -97L)) > > > > > > [[alternative HTML version deleted]] > > > > > > ______________________________________________ > > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > > https://stat.ethz.ch/mailman/listinfo/r-help > > > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > > > and provide commented, minimal, self-contained, reproducible code. > > > > David Winsemius > > Alameda, CA, USA > > > > > > David Winsemius > Alameda, CA, USA > >David Winsemius Alameda, CA, USA
I think you are going into the wrong direction here and this is a classical
example of what we mean by "technical debt" of code. Rather than tell
to your regular expression what you are looking for, you are handling special
cases with redundant code. This is ugly, brittle and impossible to maintain.
Respect to you that you have recognized this.
The solution is rather simple:
A) Isolate tokens. Your IDs contain only a limited set of characters. Split your
strings along the characters that are not found in IDs to isolate candidate
tokens, place them into a vector.
B) Evaluate your tokens: as far as I can see IDs all contain letters AND
numbers. This is a unique characteristic. Thus it is sufficient to grep for a
letter/number pair in a token to identify it as an ID.
Should you ever find a need to accommodate differently formed IDs, there are
only two, well defined places with clearly delegated roles where changes might
be needed.
Here is the code:
for (i in 1:nrow(ripley.tv)) {
v <- unlist(strsplit(ripley.tv$producto[i], "[^A-Z0-9-]+")) #
isolate tokens
ripley.tv$id[i] <- v[grep("[A-Z][0-9]", v)] # identify IDs and
store
}
Cheers,
Boris
On Oct 9, 2015, at 5:48 PM, Omar Andr? Gonz?les D?az <oma.gonzales at
gmail.com> wrote:
>>>> ripley.tv <- structure(list(id = c(NA, NA, NA, NA, NA, NA,
NA, NA,
>> NA, NA,
>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
>>>> NA, NA, NA, NA, NA, NA, NA), marca = c("SAMSUNG",
"SAMSUNG",
>>>> "PANASONIC", "HAIER", "HAIER",
"HAIER", "HAIER", "HAIER", "HAIER",
>>>> "HAIER", "PANASONIC", "HAIER",
"SAMSUNG", "SAMSUNG", "SAMSUNG",
>>>> "SAMSUNG", "SAMSUNG", "SAMSUNG",
"SAMSUNG", "SAMSUNG", "SAMSUNG",
>>>> "SAMSUNG", "SAMSUNG", "LG",
"LG", "LG", "LG", "LG", "LG",
"LG",
>>>> "LG", "LG", "LG", "LG",
"LG", "LG", "PANASONIC", "PANASONIC",
>>>> "LG", "LG", "LG",
"SONY", "SONY", "SONY", "SAMSUNG",
"SAMSUNG",
>>>> "SAMSUNG", "SAMSUNG", "SAMSUNG",
"SAMSUNG", "SONY", "SONY", "SAMSUNG",
>>>> "SAMSUNG", "LG", "LG",
"LG", "SONY", "SAMSUNG", "AOC",
"PANASONIC",
>>>> "SONY", "LG", "AOC",
"LG", "SONY", "SONY", "SONY",
"SONY", "SONY",
>>>> "SONY", "SHARP", "SHARP",
"SHARP", "SAMSUNG", "LG", "LG",
"LG",
>>>> "LG", "SAMSUNG", "SONY",
"LG", "LG", "LG", "LG", "LG",
"PANASONIC",
>>>> "SONY", "SHARP", "SONY",
"PANASONIC", "SONY", "SAMSUNG", "AOC",
>>>> "PANASONIC", "SHARP", "AOC"),
producto = c("SMART TV LED FHD 48\" 3D
>>>> 48J6400",
>>>> "SMART TV LED FHD 40\" 40J5300", "TV LED
FULL HD 40'' TC-40CS600L",
>>>> "TELEVISOR LED LE28F6600 28\"", "SMART TV
40\" HD LE40K5000N",
>>>> "TV LED HD 32'' LE32B7000", "SMART TV
32'' LE32K5000N", "TV LED FHD
>> 55\" -
>>>> LE55B8000",
>>>> "TV LED LE40B8000 FULL HD 40\"", "TV
LE24B8000 LED HD 24\" - NEGRO",
>>>> "TV LED FULL HD 42'' TC-42AS610",
"TELEVISOR LED LE50K5000N 50\"",
>>>> "SMART TV LED UHD 40\" 40JU6500", "SMART TV
ULTRA HD 48'' 48JU6500",
>>>> "SMART TV 50JU6500 LED UHD 50\" - NEGRO",
"SMART TV ULTRA HD 55'' 3D
>>>> 55JS9000",
>>>> "SMART TV LED UHD 55\" 55JU6500", "SMART TV
ULTRA HD 55'' 55JU6700",
>>>> "SMART TV CURVO 55JU7500 LED UHD 55\" 3D -
NEGRO", "SMART TV ULTRA HD
>> 65''
>>>> 3D 65JS9000",
>>>> "SMART TV 65JU6500 LED UHD 65\"", "SMART TV
ULTRA HD 65'' 65JU7500",
>>>> "SMART TV LED UHD 75\" 75JU6500", "SMART TV
WEB OS 40\" FULL HD
>> 40LF6350",
>>>> "SMART TV 3D 42\" FULL HD 42LF6400", "TV
LED 42\" FULL HD CINEMA 3D
>>>> 42LF6450",
>>>> "TV LED 49\" FULL HD CINEMA 3D 49LF6450",
"SMART TV LF6400 49\" FULL HD
>>>> 3D",
>>>> "TV 43UF6750 43\" ULTRA HD 4K", "TV
49\" ULTRA HD 4K 49UF6750",
>>>> "TV LED 49\" ULTRA HD SMART UF6900", "SMART
TV 49UF7700 49\" ULTRA HD
>> 4K",
>>>> "SMART TV 49UF8500 49\" ULTRA HD 4K 3D",
"TV LED 55\" CINEMA 3D SMART
>> TV
>>>> 55UF7700",
>>>> "SMART TV 65UF7700 65\" ULTRA HD 4K",
"SMART TV 55UF8500 55\" ULTRA HD
>> 4K
>>>> 3D",
>>>> "TV LED 55\" ULTRA HD 4K SMART TC-55CX640W",
"TV LED 50\" ULTRA HD 4K
>> SMART
>>>> TC-50CX640W",
>>>> "SMART TV 70UF7700 3D ULTRA HD 70\"", "TV
LED CURVO 65\" ULTRA HD 4K
>> CINEMA
>>>> SMART UG8700",
>>>> "TV LED 60\" FULL HD SMART LF6350", "SMART
TV KDL-50FA95C 50\" FULL HD
>> 3D",
>>>> "SMART TV KDL50W805C 50\" FULL HD 3D", "TV
LED 40\" FULL HD
>> KDL-40R354B",
>>>> "SMART TV LED FULL HD 40'' 40J5500",
"SMART TV LED FULL HD 50''
>> 50J5500",
>>>> "TV LED HD 32'' 32JH4005", "SMART TV LED
FULL HD 50\" 50J5300",
>>>> "SMART TV LED 48\" FULL HD 48J5300", "SMART
TV FULL HD 40'' 3D
>> 40J6400",
>>>> "TV LED 32\" HD SMART KDL-32R505C", "TV LED
40\" SMART FULL HD
>> KDL-40R555C
>>>> - NEGRO",
>>>> "SMART TV LED FHD 55\" 3D 55J6400", "TV
40JH5005 LED FHD 40\" - NEGRO",
>>>> "TV 43\" FULL HD 43LF5410", "SMART TV
32LF585B LED HD 32\" - BLANCO",
>>>> "TV LED 49\" FULL HD SMART 49LF5900",
"SMART TV 65\" FULL HD 3D
>>>> KDL-65W855C",
>>>> "SMART TV LED FHD 48\" UN48J6500", "TV LED
40\" FULL HD LE40F1551",
>>>> "TV LED 32'' SMART HD TC-32AS600L", "TV
LED 32'' HD KDL-32R304B",
>>>> "TV OLED 55\" SMART 3D FULL HD 55EC9300
PLATEADO", "TV LED HD 32''
>>>> LE32W454F",
>>>> "TV LED 58\" ULTRA HD SMART 58UF8300", "TV
LED 55\" FULL HD SMART 3D
>>>> KDL-55W805C",
>>>> "TV LED 49\" ULTRA HD 4K XBR-49X835C", "TV
LED 55\" ULTRA HD 4K
>>>> XBR-55X855C",
>>>> "TV LED ULTRA DELGADO 55\" ULTRA HD 4K
XBR-65X905C", "TV LED 75\"
>> ULTRA HD
>>>> 4K 3D XBR-75X945C",
>>>> "TV LED ULTRA DELGADO 55\" ULTRA HD 4K
XBR-55X905C", "SMART TV LED 60''
>>>> ULTRA HD 4K LC60UE30U",
>>>> "SMART TV LED 70'' ULTRA HD 4K LC70UE30U",
"SMART TV LED 80'' ULTRA HD
>> 4K
>>>> LC80UE30U",
>>>> "SMART TV LED FULL HD 48'' 48J5500",
"SMART TV CURVO 79UG8800 79\"
>> ULTRA HD
>>>> 4K 3D",
>>>> "SMART TV 65UF9500 65\" ULTRA HD 4K 3D",
"SMART TV 65UF8500 65\" ULTRA
>> HD
>>>> 4K 3D",
>>>> "SMART TV 55UF9500 55\" ULTRA HD 4K 3D",
"SMART TV LED HD 32\"
>> 32J4300",
>>>> "TV LED 48\" SMART FULL HD KDL-48R555C - NEGRO",
"SMART TV 55UG8700
>> 55\"
>>>> ULTRA HD 4K 3D",
>>>> "SMART TV 60UF8500 60\" ULTRA HD 4K 3D",
"SMART TV 55LF6500 55\" FULL
>> HD
>>>> 3D",
>>>> "TV 32LF550B 32\" HD", "TV LED 47\"
FULL HD 47LB5610", "TV LED FULL HD
>> 50''
>>>> TC-50AS600L",
>>>> "TV SMART LED 55\" UHD 3D XBR-55X855B", "TV
LED FULL HD 4K LC70SQ17U
>> 70''",
>>>> "TV LED SMART UHD 79\" XBR-79X905B", "TV
LED FULL HD 40'' TC-40A400L",
>>>> "TV LED SMART UHD 70\" XBR-70X855B", "SMART
TV UHD 55'' 3D CURVO
>> 55HU8700",
>>>> "TV FULL HD LE40D3142 40\" - NEGRO",
"TELEVISOR LED 42\" TC-42AS650L",
>>>> "SMART TV LCD FHD 70\" LC70LE660", "TV LED
FULL HD 58'' LE58D3140"
>>>> ), pulgadas = c(48L, 40L, 40L, 28L, 40L, 32L, 32L, 55L, 40L,
>>>> 24L, 42L, 50L, 40L, 48L, 50L, 55L, 55L, 55L, 55L, 65L, 65L,
65L,
>>>> 75L, 40L, 42L, 42L, 49L, 49L, 43L, 49L, 49L, 49L, 49L, 55L,
65L,
>>>> 55L, 55L, 50L, 70L, 65L, 60L, 50L, 50L, 40L, 40L, 50L, 32L,
50L,
>>>> 48L, 40L, 32L, 40L, 55L, 40L, 43L, 32L, 49L, 65L, 48L, 40L,
32L,
>>>> 32L, 55L, 32L, 58L, 55L, 49L, 55L, 55L, 75L, 55L, 60L, 70L,
80L,
>>>> 48L, 79L, 65L, 65L, 55L, 32L, 48L, 55L, 60L, 55L, 32L, 47L,
50L,
>>>> 55L, 70L, 79L, 40L, 70L, 55L, 40L, 42L, 70L, 58L), precio.antes
>> c(2799L,
>>>> 1799L, 1699L, 599L, 1299L, 699L, 999L, 1999L, 999L, 499L,
1899L,
>>>> 1799L, 2499L, 3999L, 3699L, 10999L, 4299L, 5499L, 6999L,
14999L,
>>>> 8999L, 9999L, 14599L, 1999L, 2299L, 2299L, 2899L, 2999L, 2299L,
>>>> 23992L, 3599L, 3799L, 4799L, 4999L, 8499L, 5999L, 4999L, 3999L,
>>>> 11999L, 10999L, 4399L, 4499L, 3799L, 1399L, 2299L, 2799L, 999L,
>>>> 2199L, 2299L, 2299L, 1299L, 1699L, 3499L, 1399L, 1549L, 1299L,
>>>> 2399L, 6499L, 2999L, 999L, 1249L, 999L, 14999L, 799L, 5999L,
>>>> 4499L, 4999L, 6499L, 12999L, 24999L, 8999L, 5999L, 7599L,
14999L,
>>>> 2499L, 29999L, 13999L, 9999L, 9699L, 1299L, 2399L, 6999L,
7999L,
>>>> 3699L, 999L, 1899L, 2999L, 7999L, 8499L, 24999L, 1399L, 13999L,
>>>> 8499L, 999L, 2599L, 5799L, 2399L), precio.nuevo = c(2299, 1399,
>>>> 1299, 549, 1099, 629, 799, 1699, 849, 439, 1499, 1549, 1759.2,
>>>> 2099.3, 2309.3, 7699.3, 2799.3, 3639.3, 4899.3, 10499.3,
5109.3,
>>>> 6999.3, 10219.3, 1399, 1599, 1599, 2199, 2199, 1299, 23992,
2299,
>>>> 2299, 2899, 2999, 5999, 3899, 4999, 3999, 8999, 6999, 4099,
3999,
>>>> 3499, 1299, 1799, 2399, 799, 2199, 1799, 1999, 1199, 1599,
2999,
>>>> 1199, 1399, 1099, 1999, 5999, 2799, 999, 1199, 949, 7999, 799,
>>>> 5299, 4299, 3999, 5999, 11999, 23999, 7999, 5699, 7599, 14499,
>>>> 2399, 29999, 11999, 8999, 7499, 1099, 2199, 6599, 7099, 3599,
>>>> 899, 1599, 2199, 4999, 6499, 19999, 1399, 9999, 5999, 999,
2599,
>>>> 5699, 2399), dif.precios = c(500, 400, 400, 50, 200, 70, 200,
>>>> 300, 150, 60, 400, 250, 739.8, 1899.7, 1389.7, 3299.7, 1499.7,
>>>> 1859.7, 2099.7, 4499.7, 3889.7, 2999.7, 4379.7, 600, 700, 700,
>>>> 700, 800, 1000, 0, 1300, 1500, 1900, 2000, 2500, 2100, 0, 0,
>>>> 3000, 4000, 300, 500, 300, 100, 500, 400, 200, 0, 500, 300,
100,
>>>> 100, 500, 200, 150, 200, 400, 500, 200, 0, 50, 50, 7000, 0,
700,
>>>> 200, 1000, 500, 1000, 1000, 1000, 300, 0, 500, 100, 0, 2000,
>>>> 1000, 2200, 200, 200, 400, 900, 100, 100, 300, 800, 3000, 2000,
>>>> 5000, 0, 4000, 2500, 0, 0, 100, 0), dif.porcentual = c(17.86,
>>>> 22.23, 23.54, 8.35, 15.4, 10.01, 20.02, 15.01, 15.02, 12.02,
>>>> 21.06, 13.9, 29.6, 47.5, 37.57, 30, 34.88, 33.82, 30, 30,
43.22,
>>>> 30, 30, 30.02, 30.45, 30.45, 24.15, 26.68, 43.5, 0, 36.12,
39.48,
>>>> 39.59, 40.01, 29.42, 35.01, 0, 0, 25, 36.37, 6.82, 11.11, 7.9,
>>>> 7.15, 21.75, 14.29, 20.02, 0, 21.75, 13.05, 7.7, 5.89, 14.29,
>>>> 14.3, 9.68, 15.4, 16.67, 7.69, 6.67, 0, 4, 5.01, 46.67, 0,
11.67,
>>>> 4.45, 20, 7.69, 7.69, 4, 11.11, 5, 0, 3.33, 4, 0, 14.29, 10,
>>>> 22.68, 15.4, 8.34, 5.72, 11.25, 2.7, 10.01, 15.8, 26.68, 37.5,
>>>> 23.53, 20, 0, 28.57, 29.42, 0, 0, 1.72, 0), rangos =
c("S/.1500 -
>> S/.2500",
>>>> "S/.500 - S/.1500", "S/.500 - S/.1500",
"S/.500 - S/.1500", "S/.500 -
>>>> S/.1500",
>>>> "S/.500 - S/.1500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
>>>> "S/.500 - S/.1500", "< S/.500",
"S/.500 - S/.1500", "S/.1500 -
>> S/.2500",
>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500",
"S/.1500 - S/.2500",
>>>> "> S/.4,500", "S/.2500 - S/.3500",
"S/.3500 - S/.4500", "> S/.4,500",
>>>> "> S/.4,500", "> S/.4,500",
"> S/.4,500", "> S/.4,500", "S/.500 -
>> S/.1500",
>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500",
"S/.1500 - S/.2500",
>>>> "S/.1500 - S/.2500", "S/.500 - S/.1500",
"> S/.4,500", "S/.1500 -
>> S/.2500",
>>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500",
"S/.2500 - S/.3500",
>>>> "> S/.4,500", "S/.3500 - S/.4500",
"> S/.4,500", "S/.3500 - S/.4500",
>>>> "> S/.4,500", "> S/.4,500",
"S/.3500 - S/.4500", "S/.3500 - S/.4500",
>>>> "S/.2500 - S/.3500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
>>>> "S/.1500 - S/.2500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500",
"S/.500 - S/.1500",
>>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500",
"S/.500 - S/.1500",
>>>> "S/.500 - S/.1500", "S/.500 - S/.1500",
"S/.1500 - S/.2500",
>>>> "> S/.4,500", "S/.2500 - S/.3500",
"S/.500 - S/.1500", "S/.500 -
>> S/.1500",
>>>> "S/.500 - S/.1500", "> S/.4,500",
"S/.500 - S/.1500", "> S/.4,500",
>>>> "S/.3500 - S/.4500", "S/.3500 - S/.4500",
"> S/.4,500", "> S/.4,500",
>>>> "> S/.4,500", "> S/.4,500",
"> S/.4,500", "> S/.4,500", "> S/.4,500",
>>>> "S/.1500 - S/.2500", "> S/.4,500",
"> S/.4,500", "> S/.4,500",
>>>> "> S/.4,500", "S/.500 - S/.1500",
"S/.1500 - S/.2500", "> S/.4,500",
>>>> "> S/.4,500", "S/.3500 - S/.4500",
"S/.500 - S/.1500", "S/.1500 -
>> S/.2500",
>>>> "S/.1500 - S/.2500", "> S/.4,500",
"> S/.4,500", "> S/.4,500",
>>>> "S/.500 - S/.1500", "> S/.4,500",
"> S/.4,500", "S/.500 - S/.1500",
>>>> "S/.2500 - S/.3500", "> S/.4,500",
"S/.1500 - S/.2500")), .Names >> c("id",
>>>> "marca", "producto", "pulgadas",
"precio.antes", "precio.nuevo",
>>>> "dif.precios", "dif.porcentual",
"rangos"), class = "data.frame",
>> row.names
>>>> = c(NA,
>>>> -97L))
On Oct 9, 2015, at 4:21 PM, Boris Steipe wrote:> I think you are going into the wrong direction here and this is a classical example of what we mean by "technical debt" of code. Rather than tell to your regular expression what you are looking for, you are handling special cases with redundant code. This is ugly, brittle and impossible to maintain. > > Respect to you that you have recognized this. > > > The solution is rather simple: > > A) Isolate tokens. Your IDs contain only a limited set of characters. Split your strings along the characters that are not found in IDs to isolate candidate tokens, place them into a vector. > > B) Evaluate your tokens: as far as I can see IDs all contain letters AND numbers. This is a unique characteristic. Thus it is sufficient to grep for a letter/number pair in a token to identify it as an ID. > > Should you ever find a need to accommodate differently formed IDs, there are only two, well defined places with clearly delegated roles where changes might be needed. > > Here is the code: > > for (i in 1:nrow(ripley.tv)) { > v <- unlist(strsplit(ripley.tv$producto[i], "[^A-Z0-9-]+")) # isolate tokens > ripley.tv$id[i] <- v[grep("[A-Z][0-9]", v)] # identify IDs and store > }That logic actually simplifies the regex strategy as well: sub("(.*[ \n])([-A-Z0-9]{6,12})(.*)", "\\2", ripley.tv$producto, ignore.case = T) Almost succeeds, with a few all-character words, but if you require one number in the middle you get full results: sub("(.*[ \n])([-A-Z0-9]{3,6}[0-9][-A-Z0-9]{2,6})(.*)", "\\2", ripley.tv$producto, ignore.case = T) [1] "48J6400" "40J5300" "TC-40CS600L" "LE28F6600" "LE40K5000N" [6] "LE32B7000" "LE32K5000N" "LE55B8000" "LE40B8000" "LE24B8000" [11] "TC-42AS610" "LE50K5000N" "40JU6500" "48JU6500" "50JU6500" [16] "55JS9000" "55JU6500" "55JU6700" "55JU7500" "65JS9000" [21] "65JU6500" "65JU7500" "75JU6500" "40LF6350" "42LF6400" [26] "42LF6450" "49LF6450" "LF6400" "43UF6750" "49UF6750" [31] "UF6900" "49UF7700" "49UF8500" "55UF7700" "65UF7700" [36] "55UF8500" "TC-55CX640W" "TC-50CX640W" "70UF7700" "UG8700" [41] "LF6350" "KDL-50FA95C" "KDL50W805C" "KDL-40R354B" "40J5500" [46] "50J5500" "32JH4005" "50J5300" "48J5300" "40J6400" [51] "KDL-32R505C" "KDL-40R555C" "55J6400" "40JH5005" "43LF5410" [56] "32LF585B" "49LF5900" "KDL-65W855C" "UN48J6500" "LE40F1551" [61] "TC-32AS600L" "KDL-32R304B" "55EC9300" "LE32W454F" "58UF8300" [66] "KDL-55W805C" "XBR-49X835C" "XBR-55X855C" "XBR-65X905C" "XBR-75X945C" [71] "XBR-55X905C" "LC60UE30U" "LC70UE30U" "LC80UE30U" "48J5500" [76] "79UG8800" "65UF9500" "65UF8500" "55UF9500" "32J4300" [81] "KDL-48R555C" "55UG8700" "60UF8500" "55LF6500" "32LF550B" [86] "47LB5610" "TC-50AS600L" "XBR-55X855B" "LC70SQ17U" "XBR-79X905B" [91] "TC-40A400L" "XBR-70X855B" "55HU8700" "LE40D3142" "TC-42AS650L" [96] "LC70LE660" "LE58D3140"> > > > Cheers, > Boris > > > > On Oct 9, 2015, at 5:48 PM, Omar Andr? Gonz?les D?az <oma.gonzales at gmail.com> wrote: > >>>>> ripley.tv <- structure(list(id = c(NA, NA, NA, NA, NA, NA, NA, NA, >>> NA, NA, >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, >>>>> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, >>>>> NA, NA, NA, NA, NA, NA, NA), marca = c("SAMSUNG", "SAMSUNG", >>>>> "PANASONIC", "HAIER", "HAIER", "HAIER", "HAIER", "HAIER", "HAIER", >>>>> "HAIER", "PANASONIC", "HAIER", "SAMSUNG", "SAMSUNG", "SAMSUNG", >>>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", >>>>> "SAMSUNG", "SAMSUNG", "LG", "LG", "LG", "LG", "LG", "LG", "LG", >>>>> "LG", "LG", "LG", "LG", "LG", "LG", "PANASONIC", "PANASONIC", >>>>> "LG", "LG", "LG", "SONY", "SONY", "SONY", "SAMSUNG", "SAMSUNG", >>>>> "SAMSUNG", "SAMSUNG", "SAMSUNG", "SAMSUNG", "SONY", "SONY", "SAMSUNG", >>>>> "SAMSUNG", "LG", "LG", "LG", "SONY", "SAMSUNG", "AOC", "PANASONIC", >>>>> "SONY", "LG", "AOC", "LG", "SONY", "SONY", "SONY", "SONY", "SONY", >>>>> "SONY", "SHARP", "SHARP", "SHARP", "SAMSUNG", "LG", "LG", "LG", >>>>> "LG", "SAMSUNG", "SONY", "LG", "LG", "LG", "LG", "LG", "PANASONIC", >>>>> "SONY", "SHARP", "SONY", "PANASONIC", "SONY", "SAMSUNG", "AOC", >>>>> "PANASONIC", "SHARP", "AOC"), producto = c("SMART TV LED FHD 48\" 3D >>>>> 48J6400", >>>>> "SMART TV LED FHD 40\" 40J5300", "TV LED FULL HD 40'' TC-40CS600L", >>>>> "TELEVISOR LED LE28F6600 28\"", "SMART TV 40\" HD LE40K5000N", >>>>> "TV LED HD 32'' LE32B7000", "SMART TV 32'' LE32K5000N", "TV LED FHD >>> 55\" - >>>>> LE55B8000", >>>>> "TV LED LE40B8000 FULL HD 40\"", "TV LE24B8000 LED HD 24\" - NEGRO", >>>>> "TV LED FULL HD 42'' TC-42AS610", "TELEVISOR LED LE50K5000N 50\"", >>>>> "SMART TV LED UHD 40\" 40JU6500", "SMART TV ULTRA HD 48'' 48JU6500", >>>>> "SMART TV 50JU6500 LED UHD 50\" - NEGRO", "SMART TV ULTRA HD 55'' 3D >>>>> 55JS9000", >>>>> "SMART TV LED UHD 55\" 55JU6500", "SMART TV ULTRA HD 55'' 55JU6700", >>>>> "SMART TV CURVO 55JU7500 LED UHD 55\" 3D - NEGRO", "SMART TV ULTRA HD >>> 65'' >>>>> 3D 65JS9000", >>>>> "SMART TV 65JU6500 LED UHD 65\"", "SMART TV ULTRA HD 65'' 65JU7500", >>>>> "SMART TV LED UHD 75\" 75JU6500", "SMART TV WEB OS 40\" FULL HD >>> 40LF6350", >>>>> "SMART TV 3D 42\" FULL HD 42LF6400", "TV LED 42\" FULL HD CINEMA 3D >>>>> 42LF6450", >>>>> "TV LED 49\" FULL HD CINEMA 3D 49LF6450", "SMART TV LF6400 49\" FULL HD >>>>> 3D", >>>>> "TV 43UF6750 43\" ULTRA HD 4K", "TV 49\" ULTRA HD 4K 49UF6750", >>>>> "TV LED 49\" ULTRA HD SMART UF6900", "SMART TV 49UF7700 49\" ULTRA HD >>> 4K", >>>>> "SMART TV 49UF8500 49\" ULTRA HD 4K 3D", "TV LED 55\" CINEMA 3D SMART >>> TV >>>>> 55UF7700", >>>>> "SMART TV 65UF7700 65\" ULTRA HD 4K", "SMART TV 55UF8500 55\" ULTRA HD >>> 4K >>>>> 3D", >>>>> "TV LED 55\" ULTRA HD 4K SMART TC-55CX640W", "TV LED 50\" ULTRA HD 4K >>> SMART >>>>> TC-50CX640W", >>>>> "SMART TV 70UF7700 3D ULTRA HD 70\"", "TV LED CURVO 65\" ULTRA HD 4K >>> CINEMA >>>>> SMART UG8700", >>>>> "TV LED 60\" FULL HD SMART LF6350", "SMART TV KDL-50FA95C 50\" FULL HD >>> 3D", >>>>> "SMART TV KDL50W805C 50\" FULL HD 3D", "TV LED 40\" FULL HD >>> KDL-40R354B", >>>>> "SMART TV LED FULL HD 40'' 40J5500", "SMART TV LED FULL HD 50'' >>> 50J5500", >>>>> "TV LED HD 32'' 32JH4005", "SMART TV LED FULL HD 50\" 50J5300", >>>>> "SMART TV LED 48\" FULL HD 48J5300", "SMART TV FULL HD 40'' 3D >>> 40J6400", >>>>> "TV LED 32\" HD SMART KDL-32R505C", "TV LED 40\" SMART FULL HD >>> KDL-40R555C >>>>> - NEGRO", >>>>> "SMART TV LED FHD 55\" 3D 55J6400", "TV 40JH5005 LED FHD 40\" - NEGRO", >>>>> "TV 43\" FULL HD 43LF5410", "SMART TV 32LF585B LED HD 32\" - BLANCO", >>>>> "TV LED 49\" FULL HD SMART 49LF5900", "SMART TV 65\" FULL HD 3D >>>>> KDL-65W855C", >>>>> "SMART TV LED FHD 48\" UN48J6500", "TV LED 40\" FULL HD LE40F1551", >>>>> "TV LED 32'' SMART HD TC-32AS600L", "TV LED 32'' HD KDL-32R304B", >>>>> "TV OLED 55\" SMART 3D FULL HD 55EC9300 PLATEADO", "TV LED HD 32'' >>>>> LE32W454F", >>>>> "TV LED 58\" ULTRA HD SMART 58UF8300", "TV LED 55\" FULL HD SMART 3D >>>>> KDL-55W805C", >>>>> "TV LED 49\" ULTRA HD 4K XBR-49X835C", "TV LED 55\" ULTRA HD 4K >>>>> XBR-55X855C", >>>>> "TV LED ULTRA DELGADO 55\" ULTRA HD 4K XBR-65X905C", "TV LED 75\" >>> ULTRA HD >>>>> 4K 3D XBR-75X945C", >>>>> "TV LED ULTRA DELGADO 55\" ULTRA HD 4K XBR-55X905C", "SMART TV LED 60'' >>>>> ULTRA HD 4K LC60UE30U", >>>>> "SMART TV LED 70'' ULTRA HD 4K LC70UE30U", "SMART TV LED 80'' ULTRA HD >>> 4K >>>>> LC80UE30U", >>>>> "SMART TV LED FULL HD 48'' 48J5500", "SMART TV CURVO 79UG8800 79\" >>> ULTRA HD >>>>> 4K 3D", >>>>> "SMART TV 65UF9500 65\" ULTRA HD 4K 3D", "SMART TV 65UF8500 65\" ULTRA >>> HD >>>>> 4K 3D", >>>>> "SMART TV 55UF9500 55\" ULTRA HD 4K 3D", "SMART TV LED HD 32\" >>> 32J4300", >>>>> "TV LED 48\" SMART FULL HD KDL-48R555C - NEGRO", "SMART TV 55UG8700 >>> 55\" >>>>> ULTRA HD 4K 3D", >>>>> "SMART TV 60UF8500 60\" ULTRA HD 4K 3D", "SMART TV 55LF6500 55\" FULL >>> HD >>>>> 3D", >>>>> "TV 32LF550B 32\" HD", "TV LED 47\" FULL HD 47LB5610", "TV LED FULL HD >>> 50'' >>>>> TC-50AS600L", >>>>> "TV SMART LED 55\" UHD 3D XBR-55X855B", "TV LED FULL HD 4K LC70SQ17U >>> 70''", >>>>> "TV LED SMART UHD 79\" XBR-79X905B", "TV LED FULL HD 40'' TC-40A400L", >>>>> "TV LED SMART UHD 70\" XBR-70X855B", "SMART TV UHD 55'' 3D CURVO >>> 55HU8700", >>>>> "TV FULL HD LE40D3142 40\" - NEGRO", "TELEVISOR LED 42\" TC-42AS650L", >>>>> "SMART TV LCD FHD 70\" LC70LE660", "TV LED FULL HD 58'' LE58D3140" >>>>> ), pulgadas = c(48L, 40L, 40L, 28L, 40L, 32L, 32L, 55L, 40L, >>>>> 24L, 42L, 50L, 40L, 48L, 50L, 55L, 55L, 55L, 55L, 65L, 65L, 65L, >>>>> 75L, 40L, 42L, 42L, 49L, 49L, 43L, 49L, 49L, 49L, 49L, 55L, 65L, >>>>> 55L, 55L, 50L, 70L, 65L, 60L, 50L, 50L, 40L, 40L, 50L, 32L, 50L, >>>>> 48L, 40L, 32L, 40L, 55L, 40L, 43L, 32L, 49L, 65L, 48L, 40L, 32L, >>>>> 32L, 55L, 32L, 58L, 55L, 49L, 55L, 55L, 75L, 55L, 60L, 70L, 80L, >>>>> 48L, 79L, 65L, 65L, 55L, 32L, 48L, 55L, 60L, 55L, 32L, 47L, 50L, >>>>> 55L, 70L, 79L, 40L, 70L, 55L, 40L, 42L, 70L, 58L), precio.antes >>> c(2799L, >>>>> 1799L, 1699L, 599L, 1299L, 699L, 999L, 1999L, 999L, 499L, 1899L, >>>>> 1799L, 2499L, 3999L, 3699L, 10999L, 4299L, 5499L, 6999L, 14999L, >>>>> 8999L, 9999L, 14599L, 1999L, 2299L, 2299L, 2899L, 2999L, 2299L, >>>>> 23992L, 3599L, 3799L, 4799L, 4999L, 8499L, 5999L, 4999L, 3999L, >>>>> 11999L, 10999L, 4399L, 4499L, 3799L, 1399L, 2299L, 2799L, 999L, >>>>> 2199L, 2299L, 2299L, 1299L, 1699L, 3499L, 1399L, 1549L, 1299L, >>>>> 2399L, 6499L, 2999L, 999L, 1249L, 999L, 14999L, 799L, 5999L, >>>>> 4499L, 4999L, 6499L, 12999L, 24999L, 8999L, 5999L, 7599L, 14999L, >>>>> 2499L, 29999L, 13999L, 9999L, 9699L, 1299L, 2399L, 6999L, 7999L, >>>>> 3699L, 999L, 1899L, 2999L, 7999L, 8499L, 24999L, 1399L, 13999L, >>>>> 8499L, 999L, 2599L, 5799L, 2399L), precio.nuevo = c(2299, 1399, >>>>> 1299, 549, 1099, 629, 799, 1699, 849, 439, 1499, 1549, 1759.2, >>>>> 2099.3, 2309.3, 7699.3, 2799.3, 3639.3, 4899.3, 10499.3, 5109.3, >>>>> 6999.3, 10219.3, 1399, 1599, 1599, 2199, 2199, 1299, 23992, 2299, >>>>> 2299, 2899, 2999, 5999, 3899, 4999, 3999, 8999, 6999, 4099, 3999, >>>>> 3499, 1299, 1799, 2399, 799, 2199, 1799, 1999, 1199, 1599, 2999, >>>>> 1199, 1399, 1099, 1999, 5999, 2799, 999, 1199, 949, 7999, 799, >>>>> 5299, 4299, 3999, 5999, 11999, 23999, 7999, 5699, 7599, 14499, >>>>> 2399, 29999, 11999, 8999, 7499, 1099, 2199, 6599, 7099, 3599, >>>>> 899, 1599, 2199, 4999, 6499, 19999, 1399, 9999, 5999, 999, 2599, >>>>> 5699, 2399), dif.precios = c(500, 400, 400, 50, 200, 70, 200, >>>>> 300, 150, 60, 400, 250, 739.8, 1899.7, 1389.7, 3299.7, 1499.7, >>>>> 1859.7, 2099.7, 4499.7, 3889.7, 2999.7, 4379.7, 600, 700, 700, >>>>> 700, 800, 1000, 0, 1300, 1500, 1900, 2000, 2500, 2100, 0, 0, >>>>> 3000, 4000, 300, 500, 300, 100, 500, 400, 200, 0, 500, 300, 100, >>>>> 100, 500, 200, 150, 200, 400, 500, 200, 0, 50, 50, 7000, 0, 700, >>>>> 200, 1000, 500, 1000, 1000, 1000, 300, 0, 500, 100, 0, 2000, >>>>> 1000, 2200, 200, 200, 400, 900, 100, 100, 300, 800, 3000, 2000, >>>>> 5000, 0, 4000, 2500, 0, 0, 100, 0), dif.porcentual = c(17.86, >>>>> 22.23, 23.54, 8.35, 15.4, 10.01, 20.02, 15.01, 15.02, 12.02, >>>>> 21.06, 13.9, 29.6, 47.5, 37.57, 30, 34.88, 33.82, 30, 30, 43.22, >>>>> 30, 30, 30.02, 30.45, 30.45, 24.15, 26.68, 43.5, 0, 36.12, 39.48, >>>>> 39.59, 40.01, 29.42, 35.01, 0, 0, 25, 36.37, 6.82, 11.11, 7.9, >>>>> 7.15, 21.75, 14.29, 20.02, 0, 21.75, 13.05, 7.7, 5.89, 14.29, >>>>> 14.3, 9.68, 15.4, 16.67, 7.69, 6.67, 0, 4, 5.01, 46.67, 0, 11.67, >>>>> 4.45, 20, 7.69, 7.69, 4, 11.11, 5, 0, 3.33, 4, 0, 14.29, 10, >>>>> 22.68, 15.4, 8.34, 5.72, 11.25, 2.7, 10.01, 15.8, 26.68, 37.5, >>>>> 23.53, 20, 0, 28.57, 29.42, 0, 0, 1.72, 0), rangos = c("S/.1500 - >>> S/.2500", >>>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.500 - >>>>> S/.1500", >>>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500", >>>>> "S/.500 - S/.1500", "< S/.500", "S/.500 - S/.1500", "S/.1500 - >>> S/.2500", >>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.1500 - S/.2500", >>>>> "> S/.4,500", "S/.2500 - S/.3500", "S/.3500 - S/.4500", "> S/.4,500", >>>>> "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", "S/.500 - >>> S/.1500", >>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.1500 - S/.2500", >>>>> "S/.1500 - S/.2500", "S/.500 - S/.1500", "> S/.4,500", "S/.1500 - >>> S/.2500", >>>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.2500 - S/.3500", >>>>> "> S/.4,500", "S/.3500 - S/.4500", "> S/.4,500", "S/.3500 - S/.4500", >>>>> "> S/.4,500", "> S/.4,500", "S/.3500 - S/.4500", "S/.3500 - S/.4500", >>>>> "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.1500 - S/.2500", >>>>> "S/.1500 - S/.2500", "S/.500 - S/.1500", "S/.1500 - S/.2500", >>>>> "S/.1500 - S/.2500", "S/.1500 - S/.2500", "S/.500 - S/.1500", >>>>> "S/.1500 - S/.2500", "S/.2500 - S/.3500", "S/.500 - S/.1500", >>>>> "S/.500 - S/.1500", "S/.500 - S/.1500", "S/.1500 - S/.2500", >>>>> "> S/.4,500", "S/.2500 - S/.3500", "S/.500 - S/.1500", "S/.500 - >>> S/.1500", >>>>> "S/.500 - S/.1500", "> S/.4,500", "S/.500 - S/.1500", "> S/.4,500", >>>>> "S/.3500 - S/.4500", "S/.3500 - S/.4500", "> S/.4,500", "> S/.4,500", >>>>> "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", "> S/.4,500", >>>>> "S/.1500 - S/.2500", "> S/.4,500", "> S/.4,500", "> S/.4,500", >>>>> "> S/.4,500", "S/.500 - S/.1500", "S/.1500 - S/.2500", "> S/.4,500", >>>>> "> S/.4,500", "S/.3500 - S/.4500", "S/.500 - S/.1500", "S/.1500 - >>> S/.2500", >>>>> "S/.1500 - S/.2500", "> S/.4,500", "> S/.4,500", "> S/.4,500", >>>>> "S/.500 - S/.1500", "> S/.4,500", "> S/.4,500", "S/.500 - S/.1500", >>>>> "S/.2500 - S/.3500", "> S/.4,500", "S/.1500 - S/.2500")), .Names >>> c("id", >>>>> "marca", "producto", "pulgadas", "precio.antes", "precio.nuevo", >>>>> "dif.precios", "dif.porcentual", "rangos"), class = "data.frame", >>> row.names >>>>> = c(NA, >>>>> -97L)) > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.David Winsemius Alameda, CA, USA