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Dear all, I am trying to draw a weighted cumulative distribution (as defined here http://rss.acs.unt.edu/Rdoc/library/spatstat/html/ewcdf.html) with ggplot2 however the syntax temp<-qplot(X,weight=weight,data=data,stat = "ecdf", geom = "step",colour=factor(year)) seems not to produce exactly the right figure (the values seems higher at some points)... I am wrong in the

Dear R-helpers, First of all, sorry for those who have (eventually) already received that request. The mail has been bumped several times, so I am not sure the list has received it... and I need help (if you have time)! ;-) I have a very simple question and I really hope that someone could help me I would like to estimate a simple fixed effect regression model with clustered standard errors by

Dear R-helpers, I have a very simple question and I really hope that someone could help me I would like to estimate a simple fixed effect regression model with clustered standard errors by individuals. For those using Stata, the counterpart would be xtreg with the "fe" option, or areg with the "absorb" option and in both case the clustering is achieved with "vce(cluster

Dear R help, I am using Stata, and I use a Stata ado file (Rsource) to run R in batch mode within Stata Everything works fine .... except for the fact that I cannot export the graphics that I obtain with my computations written in my R source file I believe this is related to the global Rterm_options `"--vanilla"' that I need to precise to Rsource (otherwise it does not work) ...

Dear R-help ? would like to know if there is a short solution in R for this merging problem... Let say I have a dataset A as: TYPE DATE A 2 A 5 A 20 B 10 B 2 (there can be duplicates for the same type and date) and I have another dataset B as : TYPE Special_Date A 2 A 6 A 20 A 22 B