similar to: statistic test plot

Hello. I've been using R for a couple of months and enjoying it a lot. This is my first post to R-help. I'm using the vcd package to make mosaic plots with labels on the tiles indicating the number of items in each cell. For example, I've made this plot: > allmorph<-structure(c(10, 26, 17, 100, 70, 97, 253, 430, 185, 177, > 25, 1), .Dim = as.integer(c(6, 2)), .Dimnames

I just noticed that since the last updates, Firefox no longer does the automatic spelling checking thing in text boxes. I'm sure that it used to work and I'm not sure exactly when it stopped. I just tried it on two different up-to-date Centos 5 machines with the same results. "Check my spelling as I type" is set. -- MELVILLE THEATRE ~ Melville Sask ~

Is there a way to set up a regression in R that forces two coefficients to be equal but opposite in sign? I'm trying to setup a model where a subject appears in a pair of environments where a measurement X is made. There are a total of 5 environments, one of which is a baseline. But each observation is for a subject in only two of them, and not all subjects will appear in each

Hi, I have finally installed TeachingDemos trough zip file and installed on lbrary. One new question: I want to draw a line (like abline) on diagonal or the result of running a ols. How can I do it. On the other hand, I want to mark the length on each sub plot y axis. It is possible? My function is sca<-function(){ z2<-read.table("Ase.txt",header=T)

[Env: Win Xp] Is there any options() setting or call to help() or help.start() that will allow me to view a help file for a package built under R 2.10.x under R 2.9.2? I'm using both R 2.9.2 and R 2.10.1, but prefer the former because the CHM help is so much easier to use. Yet, if I install a package built for R 2.10.x, I can't find *any* way to display a help file in this package.

Hi folks, On R > install.packages("TeachingDemos", dependencies=TRUE) ...... installing to /usr/local/lib/R/site-library/mapproj/libs ** R ** inst ** preparing package for lazy loading ** help *** installing help indices ** building package indices ... ** testing if installed package can be loaded * DONE (mapproj) The downloaded packages are in

I don't have a logistic regression model and am trying to generate probability curves for all possible combinations of the variables. My logit model has 5+ variables, and I want to draw curves for every scenario. See code below. When home_owner is 0 and 1, I want curves. The same goes for all other variables categories, so that I have permutations for all possible combinations. I've

I'd like to announce a new version, 1.3-0, of the Rcmdr package. The Rcmdr package provides a basic-statistics graphical user interface (GUI) to R. Beyond small changes and additions, this new version of the package makes provision for "plug-ins" that permit extension of the Rcmdr GUI without altering and rebuilding the Rcmdr source package or modifying the installed package. An R

I'd like to announce a new version, 1.3-0, of the Rcmdr package. The Rcmdr package provides a basic-statistics graphical user interface (GUI) to R. Beyond small changes and additions, this new version of the package makes provision for "plug-ins" that permit extension of the Rcmdr GUI without altering and rebuilding the Rcmdr source package or modifying the installed package. An R

Dear list, Hi, I am emailing to see if it would be possible to get some help on running MCMCfactanal on R. I am trying to derive a single score measuring a likelihood to recieve IMF loans from 8 different variables related to IMF representation but for reason, my codes do not seem to take me to where I want to be. For some reason my code drops certain rows ( countries) automatically, making it

Hi The main issue here is that the 'graphics' package has no real concept of going back to a previous plot (the 'grid' package has explicit support for that sort of thing). In 'graphics' you can only go forwards to the next plot; you can fake going back by creating a new plot that is like a previous plot. par(plt=, usr=) is not designed to return you to a previous

Hi I'm going to try to blame user error here. par(usr) is used to reset the coordinates on the CURRENT plot. par(plt) is used to specify the location of the NEXT plot. The correct approach should be to set up the location for the next plot, start a new plot, set up coordinates on the new plot. Neither of your examples performs the "start a new plot" step. I would expect to see

Hi list, I wonder if anyone has had this experience with squishplot() in the TeachingDemos package. Taking the example from the ?image help page, library(TeachingDemos) x <- 10*(1:nrow(volcano)) y <- 10*(1:ncol(volcano)) layout(matrix(c(1,2,3,4),ncol=2,byrow=TRUE),height=c(2,1)) ## 1st plot op <- squishplot(range(x),range(y),1) image(x, y, volcano, col = terrain.colors(100)) par(op)

I asked the maintainer and he indicated that it might be a dll problem. Has anyone see this problem? I had installed the latest copy of tkrplot. I was trying to use teachingDemos when I first got the error. On 1/18/07, Luke Tierney <luke@stat.uiowa.edu> wrote: > Looks like tcl can't find the dll or something along those lines. As > this is windows you'll have to ask

e1 <- function(x,b,t){ d<-(x)*(b^t) plot(d) } e1(2, 2,seq(from=0, to=6, by=1)) Is there a way to do this with a change in time. I would like to use differential equations. I am trying to model a population with an initial value, fecundity per time step, and a death rate. The above simply shows an exponential growth rate. I would like to model species response like the famous

This is to announce the new package TeachingDemos now available on CRAN. This is a collection of functions that I have used to demonstrate different ideas in various classes taught. Some of the first ones I wrote just to help me visualize what was happening, they latter were usefull in teaching others (both in a 1 on 1 setting, and in classroom type settings). A few examples (more are

I've got a vector of data (hours to drive from a to b) y. After a qqplot I know, that they don't fit the normal probability. I would like to transform these data with the boxcox transformation (MASS), that they fit the model. When I try ybx<-boxcox(y~1,0) qqnorm(ybx) the plot is different from library (TeachingDemos) ybct<-bct(y,0) // qqnorm(ybct) How can I transform

For pedagogical reasons (i.e., moving a way from tables of distributions) I want to plot a probability density or distribution function with a shaded area corresponding to the calculated value or user input. For example, I want a plot to visually demonstrate the result of pnorm(1.3) I have seen the interactive examples in TeachingDemos and rPanel but am interested in using the function from

Hi, I'm trying to get the 'xts' library from CRAN packaged for Fedora 12, and one of its dependencies is 'Hmisc'. I have created a spec file for that using R2spec, but building it fails with something in building the manual pages: Warning: ./man/escapeRegex.Rd:22: unknown macro '\backslash' [similar warnings snipped] Warning: newline within quoted string at

Dear all R users, I have a dataset 'data' and I want to see the effect of Box-Cox transformation on it Interactively for different lambda values. I already got a look on function "vis.boxcoxu" in package "TeachingDemos". But I didn't find any option to put user's own dataset. Can anyone tell me how to put my own dataset here i.e. "data"? Thanks and