R- squaring only specific columns
r
Solution
data_sq <- data # try not to use data, it's a function in base
data_sq[,2:4] <- data[,2:4]^2 # subsetting was off but you were close!
Problem
Given a data set with a time stamp and several columns of data following it ``` data= hour V1 V2 V3 1 2012-01-19 08:00:00 0.04551064 0.002851064 0.01842553 2 2012-01-19 09:00:00 -0.05305000 -0.052266667 -0.07455000 3 2012-01-19 10:00:00 -0.07518333 -0.101333333 -0.10670000 4 2012-01-19 11:00:00 -0.09195000 -0.099383333 -0.11176667 5 2012-01-19 12:00:00 -0.07743333 -0.074000000 -0.09106667 6 2012-01-19 13:00:00 -0.10978333 -0.096200000 -0.11343333 ``` I would like to square the columns V1-V3 giving me this ``` data_sq= hour V1 V2 V3 1 2012-01-19 08:00:00 0.002071218 8.128565e-06 0.0003395002 2 2012-01-19 09:00:00 0.002814303 2.731804e-03 0.0055577025 3 2012-01-19 10:00:00 0.005652534 1.026844e-02 0.0113848900 4 2012-01-19 11:00:00 0.008454803 9.877047e-03 0.0124917878 5 2012-01-19 12:00:00 0.005995921 5.476000e-03 0.0082931378 6 2012-01-19 13:00:00 0.012052380 9.254440e-03 0.0128671211 ``` As for right now I just use ``` data_sq<-data^2 ``` to get the square root. But it destroys the time stamp so I have to put it back in with something really awkward like ``` data_sqd<-cbind(data_sq,data$hour) ``` I tried ``` data_sq<-(data[,c(2:4)]^2 ``` but I loose the time stamp as well So how do I keep my time stamp column intact and specify which columns I want to square? My apologies for the lack of reproducible data, but I am hoping this is a simple enough question I can get away with it :)