search for: tm3

...ows. how to use 'points' function to plot two curves with errbar I am doing like: x.val <- as.integer(names(co2mean)) errbar(x.val, co2mean, co2mean + co2sd, co2mean - co2sd, xaxt='n', col=1, xlab=NA,ylab=NA)# obs error bar lines(x.val, co2mean, col=1, lwd=2) errbar(x.val, co2tm3.month.mean, co2tm3.month.mean + co2sd.tm3, co2tm3.month.mean - co2sd.tm3, xaxt='n', col=2, xlab=NA,ylab=NA)# model error bar lines(x.val, co2tm3.month.mean, col=2, lwd=2) Above code replaces first error bar and its line with second. Kindly help, how to use 'points' function here so...

...0, 1, 0, -1, 1, -1), t4 = c(0, -1, 0, -1, -1, -1), t5 = c(0, -1, 1, -1, -1, -1), tf1 = c(0, 0, 0, 1, 0, 1), tf2 = c(0, 0, 0, -1, 0, -1), tf3 = c(0, 1, 0, -1, 1, -1), tf4 = c(0, -1, 0, -1, -1, -1 ), tf5 = c(0, -1, 1, -1, -1, -1), tm1 = c(0, 0, 0, 1, 0, 1), tm2 = c(0, 0, 0, -1, 0, -1), tm3 = c(0, 1, 0, -1, 1, -1), tm4 = c(0, -1, 0, -1, -1, -1), tm5 = c(0, -1, 1, -1, -1, -1)), row.names = c(NA, -6L), .Names = c("obs", "start", "end", "D", "bin", "t1", "t2", "t3", "t4", "t5", &...

...1), t4 = c(0, -1, 0, -1, -1, -1), t5 = c(0, -1, 1, -1, -1, > -1), tf1 = c(0, 0, 0, 1, 0, 1), tf2 = c(0, 0, 0, -1, 0, -1), > tf3 = c(0, 1, 0, -1, 1, -1), tf4 = c(0, -1, 0, -1, -1, -1 > ), tf5 = c(0, -1, 1, -1, -1, -1), tm1 = c(0, 0, 0, 1, 0, > 1), tm2 = c(0, 0, 0, -1, 0, -1), tm3 = c(0, 1, 0, -1, 1, > -1), tm4 = c(0, -1, 0, -1, -1, -1), tm5 = c(0, -1, 1, -1, > -1, -1)), row.names = c(NA, -6L), .Names = c("obs", "start", > "end", "D", "bin", "t1", "t2", "t3", "t4", &quo...

Thank you all for the useful suggestion. I did some of my homework. library(data.table) DFM <- read.table(header=TRUE, text='obs start end 1 2/1/2015 1/1/2017 2 4/11/2010 1/1/2011 3 1/4/2006 5/3/2007 4 10/1/2007 1/1/2008 5 6/1/2011 1/1/2012 6 10/5/2004 12/1/2004',stringsAsFactors = FALSE) DFM DFM$D =as.numeric(difftime(as.Date(DFM$end,format="%m/%d/%Y"),

...1), t4 = c(0, -1, 0, -1, -1, -1), t5 = c(0, -1, 1, -1, -1, > -1), tf1 = c(0, 0, 0, 1, 0, 1), tf2 = c(0, 0, 0, -1, 0, -1), > tf3 = c(0, 1, 0, -1, 1, -1), tf4 = c(0, -1, 0, -1, -1, -1 > ), tf5 = c(0, -1, 1, -1, -1, -1), tm1 = c(0, 0, 0, 1, 0, > 1), tm2 = c(0, 0, 0, -1, 0, -1), tm3 = c(0, 1, 0, -1, 1, > -1), tm4 = c(0, -1, 0, -1, -1, -1), tm5 = c(0, -1, 1, -1, > -1, -1)), row.names = c(NA, -6L), .Names = c("obs", "start", > "end", "D", "bin", "t1", "t2", "t3", "t4", &quo...

Dear list-members I am new to R and a statistics beginner. I really like the ease with which I can extract and manipulate data in R, and would like to use it primarily. I've been learning by checking analyses that have already been run in SAS. In an experiment with Y being a response variable, and group a 2-level between-subject factor, and time a 5-level within-subject factor. 2