Try this:
dat=structure(list(Color = c("5", "<4","5", "<5", "5"), Unit =
c("Hazen","Hazen","Hazen", "Hazen", "Hazen")), .Names = c("Color", "Unit"),
row.names =c("1:2","1:3", "1:4", "1:5","1:6"), class = "data.frame")
dat=as.data.frame(dat)dat$col2 <- rep(" ", nrow(dat))dat[dat$Color == "<4", ][,
"col2"] <- "2"dat[dat$Color == "<5", ][, "col2"] <- "2.5"
On Wednesday, June 17, 2015 1:33 PM, Shane Carey <careys...@gmail.com>
wrote:
Hey all,
I have a dataframe that consists of:
structure(list(Color = c("5", "<4","5", "<5", "5"), Unit = c("Hazen",
"Hazen",
"Hazen", "Hazen", "Hazen")), .Names = c("Color", "Unit"), row.names =
c("1:2",
"1:3", "1:4", "1:5","1:6"), class = "data.frame")
I need to find the <4 and have a new column with the result of 4 ÷ 2 = 2
Similarly
I need to find the <5 and have the new column with the result of 5 ÷ 2 = 2.5
All other numeric values would be added to the new column also to end up
with:
Color New value Unit 1:2 5 5 Hazen 1:3 <4 2 Hazen 1:4 5 5 Hazen 1:5 <5
2.5 Hazen 1:6 5 5 Hazen
Thanks for your help!!
--
Shane
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
