I have a series of data frames, df1
df2
, where each data frame follow this structure:
x <- c(1:5)
y <- c(1:5)
df1 <- data
Just use length(dfList)
?
for(i in 1:length(dfList))
{
a <- grep("One", names(dfList[[i]]))
... #etc.
}
Using lapply
will be faster.
ChangeNames = function(Data)
{
a = grep("One", names(Data))
b = grep("Two", names(Data))
names(Data)[c(a,b)] <- c("R1", "R2")
return(Data)
}
lapply(dfList, ChangeNames) #Returns list of renamed data frames.
> df1 <- data.frame("Row One"=x, "Row Two"=y)
> df2 <- data.frame("Row Two"=y,"Row One"=x)
> dfList <- list(df1,df2)
> lapply(dfList, function(x) {
names(x)[ grep("One", names(x))] <- "R1"
names(x)[ grep("Two", names(x))] <- "R2"
x} )
[[1]]
R1 R2
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
[[2]]
R2 R1
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
Or use llply
(from plyr
) or lapply
like so:
library(plyr)
result_list <- llply(list_of_df, function(x) {
# do the replacing
return(x)
})