similar to: Scatterplot matrix with partly transformed axis

Hi, I am trying to do plot a scatterplot matrix using pairs() from the package graphics. There are now a few things I'd like to improve for a better understanding. 1) My scatterplot uses two log-scaled axis...as I don't know how to set them in pairs() I calculated the log before but now the labels are not as I want them. I'd like them as 10^1,10^2 etc. What is the best way to handle

#question is below data library(ggplot2) d <- (structure(list(Site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L), .Label =

Hello, I'd like to add custom labels to my pair() plot. These labels include math expression but they aren't correctly displayed... Further, I want that the boxes for the text.panel (diagonal) have an other background color (grey80). Is that generally possible? If yes how do I have to set it? What I've so far is: panel.cor <- function(x, y, digits=2, prefix="",

Hi, I have a 1-column dataframe with rownames and I want to sort it based on the single column. The typical procedure that is recommended in diverse posts is to use order in the index. But that "destroys" my dataframe structure. Probabaly it is a very simple solution. Here is a short reproducable example: x <- c(1,3,51,2,34,44,12,33,2,8) df <- data.frame(x) rownames(df) <-

Hi, I have a dataframe and want to remove columns from it that are populated with a similar value (for the total column) (the variation of that column is 0). Is there an easier way than to calculate the statistics and then remove them by hand? A <- runif(100) B <- rep(1,100) C <- rep(2.42,100) D <- runif(100) df <- data.frame(A,B,C,D) # if want to conditionally remove column B and

Hi, I am looking for a way to save the result of a function, e.g the lm()-function to a file and reload it afterwards again. I'd like to do that in order to minimize the used memory when running the function in a loop. The actual function I want to store is the evaluate() from the dismo package. I tried it with save() and load() but I am not sure if that is the way I should do it as I

Hi, it is easiest to explain what I want to do by an example: lets assume there are two factors/variables: A <- c(1,2,3) B <- c(1,3,3) Now I would like to generate a list of strings that should look like ("A1_B1","A1_B2","A2_B1","A2_B2"). So actually the string contains all possible combinations of A and B (separated by _). This should be also

I am getting the following error: Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 0 (non-NA) cases when running the command scatterplotMatrix(~THL+WL+BD+TL+Mass|SEX_,by.group=TRUE,plot.points=T,smooth=F,main=spp,) it works fine without the "by group" option I assume there are some cases with too few values, how can I get the loop containing this line to

Hi list. I was saving my modified pairs graphic using a custom panel from the R Graphics site, and I got an interesting difference in the final image when I save it as eps or png. This custom panel make possible to show at the left side of the pairs plot the p-value as symbol and the correlation r value with its cex proportional to the r value itself. Well, when saving as a png file

Dear R-users, I'm studing a DB, structured like this (just a little part of my dataset): _____________________________________________________________________________________________________________ Site Latitude Longitude Year Tot-Prod Total_Density dmp Dendoudi-1 15.441964 -13.540179 2005 3271.16 1007 16993.25 Dendoudi-2 15.397321 -13.611607

Full_Name: Clay B Version: 2.5.0 (2007-04-23) OS: Solaris Nevada Build 55b Submission from: (NULL) (65.101.229.198) I find that running this script causes R to segfault reliably. However, running just for one system at a time (modifying the for loop updating iter to run just for a system at a time works). The system is a Sun W2100z with 12 GB of ram, and R segfaults using only around 360 MB of

Good day! I'm having trouble changing certificate/keys for my dovecot(version 1.2.9). When I set up the server (unbuntu lts 10.4.4) I did it with a self-signed certificate. I can't remember exactly what I did, just that I followed the wiki and it worked fine =) Now I have to change the certificate because a friend bought an official one (from thawte) and I'm a bit stumped. As dovecot

Hi Tanmay, >Does compiling speex API with DISABLE_FLOAT_API and DISABLE_VBR solve the >problem? I remember that this fixed the problem. But at that time I also needed VBR so this was not an option. As far as I know, it is related to some calculations that involve float denormals that cause the high CPU usage. Today I'm still using the following code before speex_encoder_init and

Hello, sorry i'm an R newbie and wan't to install ggplot2 on my ubuntu system. during installation i got the error warning: Warnmeldung: In install.packages("reshape") : Installation des Pakets 'reshape' hatte Exit-Status ungleich 0 Please, give me a idea, how can i fix this error/warning -- Jetzt informieren: http://mobile.1und1.de/?ac=OM.PW.PW003K20328T7073a

Hi, I want to create a pdf of my Man-pages from my package. Therefore I run in the terminal Rd2pdf on the package and a pdf of all the pages is created. After the titlepage there is the general package page, which includes "Description" and "Details" etc. Unfortunately after the Subtitle "Details" there is a pagebreak (and 3/4 white page) which I did not set

Hi, i want to plot empirical cumulative density functions for two variables in one plot. For better visualizing the differences in the two cumulative curves I'd like to log-scale the axis. So far I found 3 possible functions to plot ecdf: 1) ecdf() from the package 'stats'. I don't know how to successfully set the log.scales? Combining two plots is not a problem: plot(ecdf(x1))

Hi, I have two variables ranging both from 0 to 1 (n=500 each). Now I am interested in plotting them both in one plot (using ggplot2). So far I used ecdf() (from an example I found with google) to get values for the cumulatice distribution function which gives a relative curve. I also want to do the same plot but using absolute cumulative values instead of relative. Can that be done with ecdf or

Hi, I've kind of a tricky question, which I don't know how to solve yet: I get multiple dataframes loaded (readRDS) in a loop function. Each loaded dataframe contains two columns one with a var-name and one with a value. The rownumber (order) is very important as it is a value of the rank (1:x). A example with a similar looped structure: df1 <-

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce