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Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 Signif. codes: 0 <80><98>***<80><99> 0.001 <80><98>**<80><99> 0.01 <80><98>*<80> <99> 0.05 <80><98>.<80><99> 0.1 <80><98> <80><99> 1 Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1 hmm... they go away when I

This has been asked before, but all the answers are hidiously complex. The legend.text=TRUE option of barplot is almost exactly what I need, except I need a legend.placement='tl' (top left) option. This option would be in contrast to the default placement which we could call 'tr' (top right). Anyone know how to edit the barplot code to make this change? Could someone like me

Hello all, It seems that the next improvement to the R Graph Gallery is categorization of the graphics, that way each graph will be easier to find. That step should be done *carefully* if we want to avoid the opposite side-effect : graph not reachable through the categories. That's why the wisdom of the R community is required. Graphics will be classified in : - categories -

Hello, supposing that I have two or three clear categories for my data, lets say pet preferece across fish, cat, dog. Lets say most people rate their preference as being mostly one of the categories. I want to do pca on the data to see three 'groups' of people, one group for fish, one for cat and one for dog. I would like to see the odd person who likes both or all three in the

Hi, I want to use hist with non-equi-spaced breaks, picked such that the fraction of the data points falling in the cells (defined by 'breaks') is roughly equal accross all cells. Is there such a function that will automatically try to determine the breaks to fullfill this requirement? Something like.. hist( x, br = magic_function_to_pick_breaks()) For example, if x looked like

I want to add values onto the end of a vector, for example... x <- vector for (i in 1:5){ add_to_end_of_vector(i,x) } I just cant find the answer to this question! Sorry for such a basic question, I tried... x <- c() for (i in 1:5) x[length(x)] <- i but it didn't work.

Full_Name: Mr. Daniel Murray Bolser Version: R 2.0.0 (2004-10-04) OS: Linux beagle 2.4.20-31.9 #1 Tue Apr 13 17:38:16 EDT 2004 i686 athlon i386 GNU/Linux Submission from: (NULL) (193.60.81.207) Trying to execute the following code produces a 'not a valid postscript' error from various postscript readers (gv, ggv, ghostscri...

Full_Name: Dan B Version: na OS: na Submission from: (NULL) (80.6.127.185) I can't log into the bug tracker (I can't find where to register / login). In this way I can't add the following context diff (hopefully in the right order) for my changes to the matrix.Rd... Hmm... I guess this should be a separate report anyway... The first diff explains how the dimnames list should

The following single line of code shows what I am trying to do, and the problem I am having... barplot(c(101,102,103),ylim=c(100,103)) The 'xaxis' is missing, and the grey bars 'fall off' the plot area. This is generally ugly, and I would like to trim the bars (ideally they would have a ragged appearance to show that I am 'zooming in'). I can see why what I am trying to

Hi, I believe this question has been asked before, but I cant find and don't remember the answer. The problem is simple, calling 'plot.data.frame(x)' gives a nice 'matrix of scatterplots' for each pair of columns in x. for example; x <- data.frame(a=jitter(01:20), b=jitter(20:01), c=jitter(21:40), d=jitter(rep(01,20)),

If I perform PCA on the 'eurodist' data, should I get an accurate geographic layout of the cities with biplot? (barring inversions, i.e. their is no way to define north.. but you get the idea...) I have a complex distance matrix, and I am thinking about how to cluster it and how to visualize the quality of the resulting clusters. If I could 'see' the clusters in space I could

Hi, Since I started to make some 'final' plots of my data I found that I have tons of questions related to 'the little things'. Rather than bother the list with all the questions (ahem), or search the archives for similar questions and translate the context, I would like to find a FAQ for plotting in particular (and R programming in general). I know for sure (searching the

I read answers to questions including the words "tapply" and "weighted.mean", but I didn't understand either the problem (data) or the solution provided. Here is my question ... > dat[1:10,] GROUP VALUE FREQUENCY 1 2 2 78 2 2 3 40 3 2 4 16 4 2 5 3 5 2 6 1 6 2 8 1 7

Is there an R wiki? Looking at the huge amount of traffic on this list, I think wiki could be an exelet outlet for all the constructive enthusiasm here. I don't think it would be too hard to port the existing R documentation (the stuff you get with the ?) onto a wiki system, then users could add their own examples and comments. Having distinct web page style organization would be easier to

I store an id as a big number, could this be a problem? Should I convert to at string when I use read.table(... example id's 1001001001001 1001001001002 ... 1002001002005 Bigest is probably 1011001001001 Ta, Dan.

I found that the edit command kills my linux/R/emacs environment sometimes. How should I report this bug?

I use the following code to scan a (limited) parameter space of clustering strategies ... data <- read.table(... dataTranspose <- t(data) distMeth <- c("euclidean", "maximum", "manhattan", "canberra", "binary" ) clustMeth <- c("ward",

I am trying the following code... for(i in 1:bins){ print(cat(c(i, length(var1[var1==i])))) } Where var1 is a vector with zero or more values = {1, 2, ..., bins} (or something like that). The result I get is... 1 33NULL 2 28NULL 3 39NULL 4 27NULL 5 32NULL 6 30NULL 7 23NULL 8 16NULL 9 10NULL 10 15NULL 11 13NULL 12 7NULL 13 3NULL 14 7NULL 15 2NULL 16 0NULL 17 2NULL 18 0NULL 19 0NULL 20 3NULL

Hi, I would like to bound the lower limit of my y scale to zero, and let R chose an upper limit. Something like plot(x,ylim=c(0,)) or plot(x,ylim=c(0,na)) but nither of these do the job. I searched the docs, but I can't see a way to do this. Naturally its nothing I can't do 'by hand', I would just like to know if a correct syntax exists.

I would like to set the 'xlab' on the 'upper' x axis. The following code shows roughly what I want by way of (one possible) expected behaviour. par(mar=c(5.1, 4.1, 5.1, 2.1)) plot(rnorm(10), rnorm(10), xlab="the lower one") axis(3, xlab="the upper one????") There are various other ways that could be expected to work, but hopefully the above is clear enough to