[R] Apply gsub to dataframe to modify row values

[Andrew Simmons]

Hello,


There are two convenient ways to access a column in a data.frame using `$`
and `[[`. Using `df` from your first email, we would do something like

df <- data.frame(VAR = 1:3, VAL = c("value is blue", "Value is red",
"empty"))
df$VAL
df[["VAL"]]

The two convenient ways to update / / replace a column with something new
are also very similar, something like

df$VAL <- ...
df[["VAL"]] <- ...

As for the regex part, I would suggest using `sub` instead of `gsub` since
you're looking to remove only the first instance of "value is". Also, I
would recommend using "^" to mark the beginning of your string, something
like

df$VAL <- sub("^Value is ", "", df$VAL, ignore.case = TRUE)

I might be misunderstanding, but it sounds like you also want to remove all
leading whitespace. If so, you could do something like

df$VAL <- sub("^[[:blank:]]*Value is ", "", df$VAL, ignore.case = TRUE)

where "*" signifies that there will be zero or more blank characters at the
beginning of the string. You can try `?regex` to read more about this.

I hope this helps!

On Mon, Aug 9, 2021 at 6:50 AM Luigi Marongiu <marongiu.luigi using gmail.com>
wrote:

> Sorry, silly question, gsub works already with regex. But still, if I
> add `[[:blank:]]` still I don't get rid of all instances. And I am
> keeping obtaining extra columns
> ```
> > df[df$VAL] = gsub("[[:blank:]Value is]", "", df$VAL, ignore.case=TRUE)
> > df[df$VAL] = gsub("[[:blank:]Value is]", "", df$VAL, ignore.case=TRUE);df
>   VAR           VAL value is blue Value is red empty
> 1   1 value is blue             b            b     b
> 2   2  Value is red            rd           rd    rd
> 3   3         empty          mpty         mpty  mpty
> ```
>
> On Mon, Aug 9, 2021 at 12:40 PM Luigi Marongiu <marongiu.luigi using gmail.com>
> wrote:
> >
> > Thank you, that is much appreciated. But on the real data, the
> > substitution works only on few instances. Is there a way to introduce
> > regex into this?
> > Cheers
> > Luigi
> >
> > On Mon, Aug 9, 2021 at 11:01 AM Jim Lemon <drjimlemon using gmail.com> wrote:
> > >
> > > Hi Luigi,
> > > Ah, now I see:
> > >
> > >  df$VAL<-gsub("Value is","",df$VAL,ignore.case=TRUE)
> > > df
> > >  VAR   VAL
> > > 1   1  blue
> > > 2   2   red
> > > 3   3 empty
> > >
> > > Jim
> > >
> > > On Mon, Aug 9, 2021 at 6:43 PM Luigi Marongiu <
> marongiu.luigi using gmail.com> wrote:
> > > >
> > > > Hello,
> > > > I have a dataframe where I would like to change the string of certain
> > > > rows, essentially I am looking to remove some useless text from the
> > > > variables.
> > > > I tried with:
> > > > ```
> > > > > df = data.frame(VAR = 1:3, VAL = c("value is blue", "Value is
> red", "empty"))
> > > > > df[df$VAL] = gsub("value is ", "", df$VAL, ignore.case = TRUE,
> perl = FALSE)
> > > > > df
> > > >   VAR           VAL value is blue Value is red empty
> > > > 1   1 value is blue          blue         blue  blue
> > > > 2   2  Value is red           red          red   red
> > > > 3   3         empty         empty        empty empty
> > > > ```
> > > > which is of course wrong because I was expecting
> > > > ```
> > > >   VAR           VAL
> > > > 1   1             blue
> > > > 2   2             red
> > > > 3   3            empty
> > > > ```
> > > > What is the correct syntax in these cases?
> > > > Thank you
> > > >
> > > > ______________________________________________
> > > > R-help using 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.
> >
> >
> >
> > --
> > Best regards,
> > Luigi
>
>
>
> --
> Best regards,
> Luigi
>
> ______________________________________________
> R-help using 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.
>

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