similar to: axis values on lattice log-scale plot

I have escaped Splus for Windows (mostly) and have started using R (v 2.3.1 on i686 redhat). Installing packages has been routine except for "sp" (classes and methods for spatial data). I get the following error message > install.packages("sp") Warning in download.packages(unique(pkgs),destdir=tmpd,available=available,: no package 'sp' at the

I'm using R 1.6.2 on a Windows 2000 machine. I've plotted the results of an MDS run labeled by a numerical ID, and color coded by a group code: plot(cv.mds.spr$points, type="n", main="Non-Metric Multidimensional Scaling of SprRun CV Watersheds") text(cv.mds.spr$points, labels = as.character(cv.wshed.id.spr), col = codes(cv.wshed.grp), cex=.75) Question is, how do I

I would be incredibly grateful to anyone who'll help me translate some SAS code into R code. Say for example that I have a dataset named "dat1" that includes five variables: wshed, site, species, bda, and sla. I can calculate with the following SAS code the mean, CV, se, and number of observations of "bda" and "sla" for each combination of

I am having a hard time interpreting the phase and coherency plots. x is two timeseries that occur at the same time i.e. a b 1 11.2 12.3 16 11.3 12.4 31 11.4 12.5 46 11.5 12.6 ...etc even though my example is does not show this they are oscillating at more or less the same frequency just shifted by t=x (imagine two sine waves offset with the 2nd sine

Hello everyone, when I run the "unique" command on my data frame, it deletes the majority of duplicate rows, but not all of them. Here is a sample of my data. How do I get it to delete all the rows? 6 -115.38 32.894 195 162.94 D 8419 D 7 -115.432 32.864 115 208.91 D 8419 D 8 -115.447 32.773 1170 264.57 D 8419 D 9 -115.447 32.773 1170 264.57 D 8419 D 10 -115.447 32.773 1170

Does anyone know of any R code for computing partial cross-correlation? I have examples of cross correlation functions (ccfs) that are not smooth but rather consist of a peak of several high values in consecutive lags, with sharp drops on either side. This indicates that y(t) is a function of some average of x(t-tau) at the set of lags tau over which the ccf is high. I could sort out these

Hi, I am trying to make a scatter plot with 4 different categories using the jitter function. My code returns a variable length error and will not plot because my four categories have different numbers of samples. When I delete samples from my spreadsheet so that each of the categories has the same number of variables, it plots just fine. Is there any way to get around this and plot all of my

Hello everyone, When I run a for loop I noticed that the looping variable gets assigned the last value in the loop: For example, if I let h=200, and I run for(i in 1:h), i gets the value 200. What's wrong here? -- -Tony [[alternative HTML version deleted]]

Hi, The first column in as.matrix(x) has extra spaces (" "), which I don't want. Is there a way not to generate those spaces? Regards, Peng > x=data.frame(x=1:10,y=letters[11:20]) > as.matrix(x) x y [1,] " 1" "k" [2,] " 2" "l" [3,] " 3" "m" [4,] " 4" "n" [5,] " 5"

I'm trying to do this in several ways but havent had any result. Im asked to install python, or perl.... etc. Can anybody suggest a direct, easy and understandable way? Every help would be appreciated. Thx. -- View this message in context: http://r.789695.n4.nabble.com/Export-R-dataframes-to-excel-tp3330399p3330399.html Sent from the R help mailing list archive at Nabble.com.

Dear R experts, i have a vector z , i have to do something after z is sorted. how can i find the original index, i.e., before sorting, of a certain element in the sorted vector . thanks in advance regards ----------------------------------------------- Peng Jiang ?? ,Ph.D. Candidate Antai College of Economics & Management ???????? Department of Mathematics ??? Shanghai Jiaotong

Dear all, I've tried a multiple regression, and now I want to try a cross-validation. I obtain this error (it must be sth related to df) that I don't understand, any help would be appreciated. cv.lm(df= dat, lm2.52f, m=3) Error en `[.data.frame`(df, , ynam) : undefined columns selected lm2.52f is my lm object, dat is a dataframe where the variables involved in .lm are I tried CVlm

Dear R list members, I've turned up a strange discrepancy between results obtained from the lme function in the nlme package in R and results obtained with lme in S-PLUS. I'm using version 3.1-24 of nlme in R 1.4.1 under Windows 2000, and both S-PLUS 2000 and 6.0, again under Windows 2000. I've noticed discrepancies in a couple of instances. Here's one, using data from Bryk

I have a data set similar to the following: Color Score RED 10 RED 13 RED 12 WHITE 22 WHITE 27 WHITE 25 BLUE 18 BLUE 17 BLUE 16 and I am trying to to select just the values of Color that are equal to RED or WHITE, excluding the BLUE. I've tried the following: myComp1<-subset(dataset, Color =="RED" | Color == "WHITE")

the following is a trivialized version of some functional code i tried to use in r: (funcs = lapply(1:5, function(i) function() i)) # a list of no-parameter functions, each with its own closure environment, # each supposed to return the corresponding index when applied to no arguments sapply(funcs, function(func) func()) # supposed to return c(1,2,3,4,5) there is absolutely nothing unusual in

Dear R users, I am working on allocating the rows within a dataframe into some factor levels.Consider the following dataframe: Start.action Start.time 1 Start.setting 2010-12-30 17:58:00 2 Start.setting 2010-12-30 18:40:00 3 Start.setting 2010-12-31 22:39:00 4 Start.setting 2010-12-31 23:24:00 5

Hello, I have this code to plot a certain normal distribution and represent the pnorm value for a certain "x": x<-300 xx <- seq(2.5,7.5, by=0.1) yy <- dnorm(xx,5.01,0.77) d<-signif(pnorm(log(x), 5.01,0.77),4) xpts <- round(exp(0:8)) par(bg = "antiquewhite") plot(xx,yy, type="l", col="blue", lwd=2, xaxt="n",

hi, I want to do hierarchical clustering with Jaccord index. I tried to do with vegan package for finding index and hierarchical clustering with hclust function. While doing clustering it is showing an error message as "invalid distance method". I would be grateful if anyone tells how to rectify the error. Thanks in advance,   kind regards, Ms.Karunambigai M PhD Scholar Dept. of

Hello, I have estimated an ARIMA model and I would like to make simulations from this estimated model 1,5 and 10 steps ahead. Does anybody know how to do this? Thank You Felipe Parra [[alternative HTML version deleted]]

I am running the R-0.62.0 snapshot on a Linux system. This system has 128 Mb of real memory and almost never swaps. I am trying to use lme() on a very large example (7200 observations, 10 columns in the fixed effects, 2 columns in the random effects). We have the optimization nicely tuned so that goes relatively quickly. It seems, though, that all the data manipulation steps before the