similar to: SUMMARY: aggregate vs. tapply

Dear all, I'm wanting to do a series of comparisons among 4 categorical variables: a <- aggregate(y, list(var1, var2, var3, var4), sum) This gets me a very nice 2-dimensional data frame with one column per variable, BUT, as help for aggregate says, <<empty subsets are removed>>. I don't see in help(aggregate) how I can change this. In contrast, a <- tapply(y,

Hi all, what a great help list! I hope someone can help me with this puzzle... I'm trying to find a simple way to do: boxplot(obs~factor) so that the factors are ordered left-to-right along the x-axis by median, not alphabetically by factor name. Complicated ways abound, but I'm hoping for a magical one-liner that'll do the trick. Any suggestions would be treasured. Thanks,

Hello all, I'm trying to do a nested linear model with a dataset that incorporates an observation for each of several classes within each of several plots. I have 219 plots, and 17 classes within each plot. data.frame has columns "plot","class","age","dep.var" With lm(dep.var~class*age), The summary(lm) function returns t-test and F-test values

Hello, all; I get an unexpected result when trying to plot a probability histogram with R1.9.1 on windows xp: #with the following code: > x <- runif(100,0,1) > hist(x) > hist(x, freq=F) > h <- hist(x, freq=F) > summary(h) # Length Class Mode #breaks 11 -none- numeric #counts 10 -none- numeric #intensities 10 -none- numeric #density 10

Hello R users- I am new to R, and tried searching the archives and literature for an answer to this - please be patient if I missed something obvious. I am fitting a logistic regression model, and would like to include variance functions (specifically the varIdent function). I cannot figure out how to do this either in glmmPQL (or something similar) for the model with random effects, or in glm

Btw, all the pbinom() examples posted to S-news today return the proper result in R Martin >>>>> "JS" == James Stapleton <stapleton at stt.msu.edu> writes to S-news : JS> More interesting behavior of pbinom: >> pbinom(3,2,.8) JS> [1] 1 >> pbinom(30,2,.8) JS> [1] 0.9967653 >> pbinom(40,2,.8) JS> [1]

Greetings, I'm trying to find a function to generate a random landscape consisting of x by y cells, allows a specification of number of classes and their proportional abundance in the landscape. Does R support such a function ? Thanks in advance Steve Steve Friedman, Assistant Professor Center for Global Change and Earth Observations Michigan State University East Lansing, Michigan

I understand that Rcmdr needs the tcltk package in order to run. However, when I attempt to using the library (Rcmdr) command, I get the message below. I have attempted to start X in R as well as using starting it from the Utilities folder on my Mac to no avail. I can't figure out if there is an issue with X11 or with R itself (I just updated to 1Is there a terminal command I can use

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

Hi All. I need a bit of help extracting the residual error variance from the VarCorr structure from lmer. #Here's a 2-way random effects model lmer.1 <- lmer(rating ~ (1|person)+(1|rater), data = dat) #Get the structure vc.fit <- VarCorr(lmer.1) #results in..... $person 1 x 1 Matrix of class "dpoMatrix" (Intercept) (Intercept) 0.7755392 $rater 1 x 1 Matrix

Hello, I've noticed that with g++ 4.3 I get the following "warning: deprecated conversion from string constant to ?char*?" when I call e.g., Rprintf("Hello world"); or when I try to define a const char e.g., char lower = 'L'; I am wrapping the c++ code in extern "C" {}. This seems to be something new with g++ 4.3, because the same code compiled

Hi R helpers, I was wondering if anybody knows if is possible to generate bootstrap values for a cluster analysis in R. What I am trying to do is obtain some confidence on the clusters formed by resampling the data set. A similar type of analysis is used in molecular taxonomy and the confidence values of each cluster are placed in the nodes of the dendogram. Any ideas on how to do this

There are still some seats available in the workshop on R that John Fox will be teaching next week in Berkeley, CA. The workshop title is "The R Statistical Computing Environment: The Basics and Beyond." It will run from Monday, August 6 through Thursday, August 9 (9:00 a.m. through 5:00 p.m. each day). This workshop is offered as part of the Inter-university Consortium for

Hello all, I am trying to use "clim.pact" package for my work, but since this is the beginning for me to use gridded datasets in "R", I am having some trouble. I want to do seasonal analyses like trends, anomalies, variograms, EOF and probably kriging too to downscale my 1 degree gridded data to 0.5.  So, as a first step, I compiled my entire dataset (with 25

Hi everybody I was trying the R binary (1.7.0) for Macintosh (Carbon) and I tried to install some packages using "install.packages" and apparently this function was not implemented. I reloaded the base library since the "update.packages" function should be on it but did not work. Also I tried read.table and did not work either. Does anybody know if the base package

Hi All. I'm new to R and trying to learn the data manipulation routines. At the moment, this is the one that has me stumped. Imagine n test takers provide responses to k multiple choice items. The result is a (n+1) x k matrix of responses where the first row of the matrix is a correct answer key. How could you transform the raw item responses into 1s (correct response) and 0s (incorrect

Hello All. I would like to repeat a multi-screen, multivariate time series plot across multiple units. Consider the following data: <r-help@stat.math.ethz.ch> UNIT TRIAL Y1 Y2 Y3 Y4 Y5 Y6 1 109 1 NA NA NA 13718 3655 15240 2 109 2 15000 6000 30000 13057 6198 21962 3 109 3 10000 10000 20000 8356 12929 27992 4 109

Hi, I would like to run R2.5.1 in Ubuntu feisty on an AMD64 chip. I am a total newbie to Linux. I have successfully compiled 2.5 however, I am not able to figure out how to upgrade the packages. I am not able to find an R-base-core_2.5.1-1_amd64 or all on the CRAN mirrors. I can find one on the Ubuntu feisty site, however when I try to install it I get a warning that Dependency is not stisfiable:

Hi all,  I have a matrix as given below... year month day prec 1   1980    10   1 13.4 2   1980    10   2  0.0 3   1980    10   3  0.0 4   1980    10   4  0.0 5   1980    10   5  0.0 6   1980    10   6  0.0 7   1980    10   7  0.0 8   1980    10   8  0.0 9   1980    10   9  0.0 10  1980    10  10  0.0 11  1980    10  11  7.4 12  1980    10  12  5.4 13  1980    10  13  7.2 14  1980    10  14  0.0

I am trying to install R-2.3.0 on a 64bit linux box and encounter several error during the make step. I'd appreciate any help. Error messages follow: [root at calculon R-2.3.0]# make make[4]: Entering directory `/state/partition1/apps/packages/R-2.3.0/src/modules/lapack' gcc -shared -L/usr/local/lib64 -o libRlapack.so dlamc.o dlapack0.o dlapack1.o dlapack2.o dlapack3.o cmplx.o