Maybe you are after "weights" option given by 'lm' or 'glm' See: http://stackoverflow.com/questions/6375650/function-for-weighted-least-squares-estimates
On 14 November 2013 10:01, Erkcan Özcan <erk...@hotmail.com> wrote: > Thanks, but if you have another closer look to my post, you will see that my > question has nothing to do with drawing error bars on a plot. > > What I want is to do a curve fit to a data with error bars. > > Best, > e. > > On 14 Nov 2013, at 04:21, Suzen, Mehmet wrote: > >> If you are after adding error bars in a scatter plot; one example is >> given below : >> >> #some example data >> set.seed(42) >> df <- data.frame(x = rep(1:10,each=5), y = rnorm(50)) >> >> #calculate mean, min and max for each x-value >> library(plyr) >> df2 <- ddply(df,.(x),function(df) >> c(mean=mean(df$y),min=min(df$y),max=max(df$y))) >> >> #plot error bars >> library(Hmisc) >> with(df2,errbar(x,mean,max,min)) >> grid(nx=NA,ny=NULL) >> >> (From: >> http://stackoverflow.com/questions/13032777/scatter-plot-with-error-bars) >> > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
