I have two dataframes with a column named 'Title' in each, containing string. I need to reduce these strings in order to merge them. Now I want to make this as clean as possible in a loop such that I only have to write the gsub-function once.
Let's say I have:
df_1 <-read.table(text="
id Title
1 some_average_title
2 another:_one
3 the_third!
4 and_'the'_last
",header=TRUE,sep="")
and:
df_2 <-read.table(text="
id Title
1 some_average.title
2 another:one
3 the_third
4 and_the_last
",header=TRUE,sep="")
I would now run:
df_1$Title <- gsub(" |\\.|'|:|!|\\'|_", "", df_1$Title )
df_2$Title <- gsub(" |\\.|'|:|!|\\'|_", "", df_2$Title )
I tried the following loop:
for (dtfrm in c("dt_1", "df_2")) {
assign(paste0(dtfrm, "$Title"),
gsub(" |\\.|'|:|!|\\'|", "", get(paste0(dtfrm, "$Title")))
)
}
but it doesn't work - despite the lack of error messages.
I was also thinking about lapply(list(dt_1, dt_2), function(w){ w$Title <- XXX })
but I don't know what to put for XXX because gsub()
needs as a third argument the list of strings.
This works:
for(df in c("df_1", "df_2")){
assign(df, transform(get(df), Title = gsub(" |\\.|'|:|!|\\'|_", "", Title)))
}
Testing:
df_1
id Title
1 1 someaveragetitle
2 2 anotherone
3 3 thethird
4 4 andthelast
And:
df_2
id Title
1 1 someaveragetitle
2 2 anotherone
3 3 thethird
4 4 andthelast
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