Reputation: 28159
I have a bunch of email subject lines and I'm trying to extract whether a range of values are present. This is how I'm trying to do it but am not getting the results I'd like:
library(stringi)
df1 <- data.frame(id = 1:5, string1 = NA)
df1$string1 <- c('15% off','25% off','35% off','45% off','55% off')
df1$pctOff10_20 <- stri_match_all_regex(df1$string1, '[10-20]%')
id string1 pctOff10_20
1 1 15% off NA
2 2 25% off NA
3 3 35% off NA
4 4 45% off NA
5 5 55% off NA
I'd like something like this:
id string1 pctOff10_20
1 1 15% off 1
2 2 25% off 0
3 3 35% off 0
4 4 45% off 0
5 5 55% off 0
Upvotes: 1
Views: 286
Reputation: 269644
1) strapply
in gsubfn can do that by combining a regex (pattern=
argument) and a function (FUN=
argument). Below we use the formula representation of the function. Alternately we could make use of betweeen
from data.table (or a number of other packages). This extracts the matches to the pattern, applies the function to it and returns the result simplifying it into a vector (rather than a list):
library(gsubfn)
btwn <- function(x, a, b) as.numeric(a <= as.numeric(x) & as.numeric(x) <= b)
transform(df1, pctOff10_20 =
strapply(
X = string1,
pattern = "\\d+",
FUN = ~ btwn(x, 10, 20),
simplify = TRUE
)
)
2) A base solution using the same btwn
function defined above is:
transform(df1, pctOff10_20 = btwn(gsub("\\D", "", string1), 10, 20))
Upvotes: 1
Reputation: 24074
Here is the way to go,
df1$pctOff10_20 <- stri_count_regex(df1$string1, '^(1\\d|20)%')
Explanation:
^ the beginning of the string
( group and capture to \1:
1 '1'
\d digits (0-9)
| OR
20 '20'
) end of \1
% '%'
Upvotes: 3