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Hi all, I am using ISOdatetime, and I just found out that when I do ISOdatetime(1995,03,26,2,10,0) (or any other value under minutes or seconds) I get NA This does not happen with the same time in other dates, nor with different hours in the same date. Any hint why this happens? Using R 2.8.1 under ESS/GnuEmacs under Windows XP Pedro -- View this message in context:

Dear All (probably Hadley), I am now trying to customise some plots using a bar geom. I do not want to use the default binning statistic, but rather calculate the bar heigths separately. I do manage this, but for comparison purposes I would like to have a set of plots all with the same y-axis height. But I do not seem to find out how to fix the scale of the y-axis in this case. Any tips?

Dear All, I am trying to build an error bar plot with ggplot2. However, even if the code seems to work, the plot is rather odd, with what seems to be a continuous line linking the different bars. I attach below the code I used, as well as the data. ================================================================ DFrame<-data.frame(x=1:10,y=0.5*(1:10),Upper=(1:10)+0.5, Lower=(1:10)-0.5) p

Dear All, I am trying to build a simple ggplot, but where the scale is reversed, i.e. the largest numbers are on the bottom. An example of the code I am using is > plotdata<-data.frame(x=1:10, y=runif(10)) > plot<-ggplot() > plot<-plot+layer(data=plotdata, mapping=aes_string(x='x',y='y'), geom='point', stat='identity', size=4) >

Dear All, I continue trying to get several of my plotting functions to use ggplot, because I really do like the concept of the graphical objects, and working with them in the abstract. I am now trying to access the grobs to manipulate using grid. However, until now all I managed was to get the plot as a gTree object, and manipulate it as a gTree from there. The problem is that then it is no

I just found out that this message got scrambled with other threads, so I trying to re-send... Dear R'ers, I am trying to build a composite plot (with several plots in one figure). I have tried, but I cannot use facetting, as I need to customize each plot using grid. Since all the plots are the same (with different data, but same layout and categories), I would like to have only one legend,

Dear UserRs, I am trying to use systematically ggplot2 for most of my plots, but I am fighting some lack of documentation, which I try to overcome. I want to build a scatterplot where the axes cross exactly at (0,0). I tried using scale_y_continuous(limits=c(0,10)), but I always get an extra space at the bottom of the axes. The code I used is below. > plotdata<-data.frame(x=1:10,

Dear All, After having overcome the issue of legends (thanks, Thierry, once more), I am trying to use facetting, but here also I can not find how to do this. I do not want to use qplot, but rather the more flexible options. However, it seems I am doing still something pretty stupid, because I always get an error, even if it seems I am doing everything like the examples. My code is below.

Dear R's (most likely Hadley), I want to build a stacked bar plot where I would like to define which colours will be used for each of the groups. However, I do not seem to find a way to do this, even if I've been looking over many places. I have tried several variations, and my final try was this code, but I still do not manage to get the colours as I pre-define. Any hints about how

Hi All, I am watching a strange behaviour of ISOdatetime. In my work computer, I get NA when I try to do > ISOdatetime(1995,03,26,2,0,0) [1] NA But on other dates and/or times (hour) works OK > ISOdatetime(1995,03,25,2,0,0) [1] "1995-03-25 02:00:00 GMT" In my home computer, I do not have this problem. I am running the same version of R (2.8.1 patched) on both machines, the

Dear All, I am trying to build a stacked bar plot, where I define the colours to use. I have asked this before, and I was using a solution in http://thread.gmane.org/gmane.comp.lang.r.general/100649/focus=100673 (thanks, Thierry). However, it looks this works only when the data are in the sequence of the levels in the factor defining the fill colours. When the sequence is different, the

I am fitting a logistic model to binary data. The response variable is a factor (0 or 1) and all predictors are continuous variables. The main predictor is LT (I expect a logistic relation between LT and the probability of being mature) and the other are variables I expect to modify this relation. I want to test if all predictors contribute significantly for the fit or not I fit the full