I currently have a dataframe of stock KPIs and I would like to remove the "$" character from the data. However, I can only use one line of code in addition to the mandatory usage of the stringi package. Looking at the documentation, the "stri_replace_all_fixed" was the function that stood out to me, but upon running that function, my data frame lost its formatting. I tried combining both the lapply and the stri_replace_all_fixed functions to no avail. Pointers on how to address this problem would be much appreciated.
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3Post an example dataset using `dput(head(yourdataframe))` – IRTFM Nov 13 '17 at 23:56
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With library(stringi)
yourdataframe[] <- lapply(yourdataframe, stri_replace_all_regex,"\\$", "")

CER
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# Dummy data
dta <- data.frame(group = rep(LETTERS[1:5], 10)) %>%
mutate(value = sample(1:10, 50, replace = TRUE) %>% paste("$"))
# scrub a dub (using dplyr)
dta %>% mutate_all(funs(stri_replace_all_fixed(., "$", "")))
and it is one of the faster approaches, too: replacement drag races

leerssej
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An update (as November 2022) on @leerssej ansewer as funs()
was deprecated:
# Dummy data
dta <- data.frame(group = rep(LETTERS[1:5], 10)) %>%
mutate(value = sample(1:10, 50, replace = TRUE) %>% paste("$"))
# scrub a dub (using dplyr)
dta %>% mutate_all(~stringi::stri_replace_all_fixed(., "$", ""))

Eduardo Zanette
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