Sum of Numeric Values in a DF Column

... and here is a non-dplyr rsolution:
z <-gsub("[^[:digit:]]"," ",dd$Lower)
sapply(strsplit(z," +"),function(x)sum(as.numeric(x),na.rm=TRUE))
[1] 105  67  60 100  80

Cheers,
Bert
Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
## Continuing with your data

AA <- stringr::str_extract_all(dd[[2]],"[[:digit:]]+")
BB <- lapply(AA, as.numeric)
## I think you are looking for one of the following two expressions
sum(unlist(BB))
sapply(BB, sum)

On Mon, Apr 18, 2016 at 12:48 PM, Burhan ul haq <ulhaqz at gmail.com> wrote:
Hi,

I request help with the following:

INPUT: A data frame where column "Lower" is a character containing numeric
values (different count or occurrences of numeric values in each row,
mostly 2)

dput(dd)
structure(list(State = c("Alabama", "Alaska", "Arizona", "Arkansas",
"California"), Lower = c("R 72?33", "R/Coalition 27(23 R, 4 D)?12 D, 1
Ind.",
"R 36?24", "R 64?35, 1 Ind.", "D 52?28"), Upper = c("R 26?8, 1 Ind.",
"R/Coalition 15(14 R, 1 D)?5 D", "R 18?12", "R 24?11", "D 26?14"
)), .Names = c("State", "Lower", "Upper"), row.names = c(NA,
5L), class = "data.frame")

PROBLEM: Need to extract all numeric values and sum them. There are few
exceptions like row2. But these can be ignored and will be fixed manually

SOLUTION SO FAR:
str_extract_all(dd[[2]],"[[:digit:]]+"), returns a list of numbers as
character. I am unable to unlist it, because it mixes them all together, ...

And if I may add, is there a "dplyr" way of doing it ...

Thanks

        [[alternative HTML version deleted]]

______________________________________________
R-help at 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.

Sum of Numeric Values in a DF Column

Thread (6 messages)