[R] Cleaning

Ashta
2015-11-12T03:03:12Z

Sarah,

Thank you very much.   For the other variables
I was trying to do the same job in different way because it is easier to
list it

Example

test < which(dat$var1  !="BAA" | dat$var1 !="FAG" )
 {
    dat <- dat[-test,]}   and I did not get the  right result. What am I
missing here?





On Wed, Nov 11, 2015 at 7:54 PM, Sarah Goslee <sarah.goslee at gmail.com>
wrote:

> 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
> >> >>
> >
> >
>

	[[alternative HTML version deleted]]