Convert character string with Dollar signs and commas to numerics
as.numeric
of character strings after
suppressing commas and dollar signs. This
is a generalization of
parseDollars
.
parseCommas(x, pattern='\\$|,', replacement='', acceptableErrorRate=0, ...) ## Default S3 method: parseCommas(x, pattern='\\$|,', replacement='', acceptableErrorRate=0, ...) ## S3 method for class 'data.frame' parseCommas(x, pattern='\\$|,', replacement='', acceptableErrorRate=0, ...)
x |
vector of character strings to be converted to numerics |
pattern |
regular expression to be replaced by
|
replacement |
Character string to substitute for each
occurrence of |
acceptableErrorRate |
number indicating the proportion of new
|
... |
optional arguments to pass to
|
as.numeric(gsub(x, ...))
The data.frame
method outputs
another data.frame
with character
or factor columns converted to numerics using
parseDollars
whenever that can be done
without creating NA
s.
Numeric vector converted from the character
strings in x
or a data.frame
with columns that are obviously numbers in
character format converted to numerics.
Spencer Graves
## ## 1. a character vector ## X2 <- c('-$2,500', '$5,000.50') x2 <- parseDollars(X2) all.equal(x2, c(-2500, 5000.5)) ## ## A data.frame ## chDF <- data.frame(let=letters[1:2], Dol=X2, dol=x2) numDF <- parseCommas(chDF) chkDF <- chDF chkDF$Dol <- x2 all.equal(numDF, chkDF)
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