similar to: ggplot2, geom_hline and facet_grid

Hi I'm trying to extract complete rows from a dataframe by group based on the maximum in a column within that group. Thus I have a dataframe: cvd_basestudy ... es_time ... _____________ study1 ... 0.3091667 study2 ... 0.3091667 study2 ... 0.2625000 study3 ... 0.3033333 study3 ... 0.2625000 __________ etc I can extract the basestudy and the max(es_time)

Hi all: I am trying to draw a horizontal line along the zero "Y axis" value but since zero isn't showing therefore the line is not drawn. If I set my intercept to 15 then it'll work but I dont want to hardcode it because the Y axis parameters could be different for another variable. I would like to alway set my hline along the zero as default. Thanks p <- ggplot(mtcars, aes(x

Hello R-List I've run into a minor problem with ggplot2. In particular, I get an error message when trying to plot a horizonal line through zero. Here is what I do: plt.df <- subset(xfm.df, select=c(stage, subj, tX)) plt <- ggplot(pp.df, aes(x=stage, y=tX, group=subj)) + geom_line() plt plt <- plt + geom_hline(intercept=0) plt The first plot yields a most lovely graph.

Hi, I've seen posts (but no answers) about clearing a file lock on a Samba share. Presumably this kind of thing happens when the program abnormally terminates and doesn't close its open files. I've got a file that smbstatus reports as: 1216 DENY_WRITE 0x20089 RDONLY NONE /shares/share1/Files/december.xls Fri Jan 12 12:51:30 2007 Trying to open this in Excel

I have some data which is censored and I want to determine the median. Its actually cost data for a cohort of patients, many of whom are still on treatment and so are censored. I can do the same sort of analysis for a survival curve and get the median survival... ...but can I just use the survival curve functions to plot an X axis that is $ rather than date? If not is there some other way to

Hi I am a newbie to R but have tried a number of ways in R to do this and can't find a good solution. (I could do it out of R in perl or awk but would like to know how to do this in R). I have a large data frame 49 variables and 7000 observations however for simplicity I can express it in the following data frame Base, Image, LVEF, ES_Time A, 1, 4.32, 0.89 A, 2, 4.98, 0.67 A, 3, 3.7, 0.5