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yr_mo
2012 Dec 13
2
More efficient use of reshape?
...ol_temp_anom_latest.csv")
clim.data <- read.csv(file, header=TRUE)
library(lubridate)
library(reshape)
#I've been playing with the lubridate package a bit to work with dates, but
as the climate dataset only uses year and month I have
#added a "day" to each entry in the "yr_mn" column and then used "dym" from
lubridate to generate the POSIXlt formatted dates in
#a new column clim.data$date
clim.data$yr_mn<-paste("01", clim.data$yr_mn, sep="")
clim.data$date<-dym(clim.data$yr_mn)
#Now to the reshape. The dataframe is in a wide fo...