[R] Cleaning

Sarah Goslee
2015-11-12T01:54:59Z

On Wed, Nov 11, 2015 at 8:44 PM, Ashta <sewashm at gmail.com>
wrote:
> Hi Sarah,
>
> I used the following to clean my data, the program crushed several times.
>
> test <- dat[dat$Var1 == "YYZ" | dat$Var1 =="MSN" ,]
>
> What is the difference between these two
>
> test <- dat[dat$Var1  %in% "YYZ" | dat$Var1 %in%
"MSN" ,]

Besides that you're using %in% wrong? I told you how to proceed.

myvalues <- c("YYZ", "MSN")

test <- subset(dat, Var1 %in% myvalues)


> subset(dat, Var1 %in% myvalues)
  X Var1 Freq
3 3  MSN 1040
4 4  YYZ  300

>
>
>
>
> On Wed, Nov 11, 2015 at 6:38 PM, Sarah Goslee <sarah.goslee at
gmail.com>
> wrote:
>>
>> Please keep replies on the list so others may participate in the
>> conversation.
>>
>> If you have a character vector containing the potential values, you
>> might look at %in% for one approach to subsetting your data.
>>
>> Var1 %in% myvalues
>>
>> Sarah
>>
>> On Wed, Nov 11, 2015 at 7:10 PM, Ashta <sewashm at gmail.com>
wrote:
>> > Thank you Sarah for your prompt response!
>> >
>> > I have the list of values of the variable Var1 it is around 20.
>> > How can I modify this one to include all the 20 valid values?
>> >
>> > test <- dat[dat$Var1 == "YYZ" | dat$Var1
=="MSN" ,]
>> >
>> > Is there a way (efficient )  of doing it?
>> >
>> > Thank you again
>> >
>> >
>> >
>> > On Wed, Nov 11, 2015 at 6:02 PM, Sarah Goslee <sarah.goslee at
gmail.com>
>> > wrote:
>> >>
>> >> Hi,
>> >>
>> >> On Wed, Nov 11, 2015 at 6:51 PM, Ashta <sewashm at
gmail.com> wrote:
>> >> > Hi all,
>> >> >
>> >> > I have a data frame with  huge rows and columns.
>> >> >
>> >> > When I looked at the data,  it has several garbage values
need to be
>> >> >
>> >> > cleaned. For a sample I am showing you the frequency
distribution
>> >> > of one variables
>> >> >
>> >> >     Var1 Freq
>> >> > 1    :    3
>> >> > 2    ]    6
>> >> > 3    MSN 1040
>> >> > 4    YYZ  300
>> >> > 5    \\    4
>> >> > 6    +     3
>> >> > 7.   ?>   15
>> >>
>> >> Please use dput() to provide your data. I made a guess at what
you had
>> >> in R, but could be wrong.
>> >>
>> >>
>> >> > and continues.
>> >> >
>> >> > I want to keep those rows that contain only a valid
variable value
>> >> >
>> >> > In this  case MSN and YYZ. I tried the following
>> >> >
>> >> > *test <- dat[dat$Var1 == "YYZ" | dat$Var1
=="MSN" ,]*
>> >> >
>> >> > but I am not getting the desired result.
>> >>
>> >> What are you getting? How does it differ from the desired
result?
>> >>
>> >> >  I have
>> >> >
>> >> > Any help or idea?
>> >>
>> >> I get:
>> >>
>> >> > dat <- structure(list(X = 1:7, Var1 = c(":",
"]", "MSN", "YYZ",
>> >> > "\\\\",
>> >> + "+", "?>"), Freq = c(3L, 6L, 1040L,
300L, 4L, 3L, 15L)), .Names >> >> c("X",
>> >> + "Var1", "Freq"), class =
"data.frame", row.names = c(NA, -7L))
>> >> >
>> >> > test <- dat[dat$Var1 == "YYZ" | dat$Var1
=="MSN" ,]
>> >> > test
>> >>   X Var1 Freq
>> >> 3 3  MSN 1040
>> >> 4 4  YYZ  300
>> >>
>> >> Which seems reasonable to me.
>> >>
>> >>
>> >> >
>> >> >         [[alternative HTML version deleted]]
>> >>
>> >> Please don't post in HTML either: it introduces all sorts
of errors to
>> >> your message.
>> >>
>> >> Sarah
>> >>
>
>