similar to: side by side plot of Histogram and densityplot

What is the correct form to write statement meaning: if (a==1) {b=2; c=3}; else {b=0; c=0}; Thank you Jue Wang, Biostatistician Contracted Position for Preclinical & Research Biostatistics PrO Unlimited (908) 231-3022

I have a plot of cumulative distribution function which is a step function, I'd like to put a cycle at the right end of each line to indicate that the value here is not available in this line. How can I do that? Thank you. cdf<-function(x){ do.call("rbind",lapply(1:nrow(as.matrix(x)), function(i){ a<-x[i] if (a<0.5){b=0.1} else if (a<1){b=0.3} else if

The data set has a number of variables each of which is classified into two groups. For each variable of each group, I need to create a histogram. All the histograms are to be lined up into a file that looks like group1 group2 Variable 1 Histogram histogram Variable 2 Histogram histogram ........................... Can you give me a hint as to what

Hi, I am running the following example which can be found on page 12 of the pdf file of COIN package wt<-wilcox_test(pd~age,data=water_transfer,distribution="exact", conf.int=TRUE) "wt" actually contains the estimate of difference in location and the confidence interval of it. I am just wondering how can I extract these values? From the examples, I understand that the

Does anyone know why wilcox.exact gives W-statistic 6 instead of 12 as indicated below. 12 is the rank sum of group 0 of x, which is the linear statistic computed by wilcox_test. y<-c(1,2,3,4,5) x<-c(1,1,0,0,0) (a) wilcox.exact wilcox.exact(y~x) Exact Wilcoxon rank sum test data: y by x W = 6, p-value = 0.2 alternative hypothesis: true mu is not equal to 0 (b) wilcox_test

Hi, Two functions wilcox.exact and wilcox_test give slightly different confidence intervals of the difference of the medians: for example y<-c(0,0,1.081,0.594,0,0.769,0,0.009,0,0,0.798,0.405,0.498,0.946,1.35,1.149,0.528) x<-c(rep(1,10),rep(2,7)) aa<-wilcox.exact(y~x,conf.int=TRUE) bb<-wilcox_test(y~factor(x),distribution="exact",conf.int=TRUE) aa bb Does anyone know

Dear Developers: I have a question about memory management in R 2.2.1 and am wondering if you would be kind enough to help me understand what is going on. (It has been a few years since I have done software development on Windows, so I apologize in advance if these are easy questions.) ------------- MY SYSTEM ------------- I am currently using R (version 2.2.1) on a PC running Windows 2000

Hi, I am a newbie with R, so I hope my question isn't too stupid. I am trying to generate dose-response curves using the "drfit" package. I have formatted my CSV files to the correct format, and have no trouble running drfit to get a summary of my data. The problem is that when I try to use "drplot" to graph my data I get an error. The message is: Error in

Dear All, I'm trying to read a text data file that contains several records separated by a blank line. Each record starts with a row that contains it's ID and the number of rows for the records (two columns), then the data table itself, e.g. 123 5 89.1791 1.1024 90.5735 1.1024 92.5666 1.1024 95.0725 1.1024 101.2070 1.1024 321 3 60.1601 1.1024 64.8023 1.1024 70.0593

Hello, I got stuck with a graphics question: I've 3 figures that I present on a single page (window) via 'layout'. The layout is layout(matrix(c(1,1,2,3), 2, 2, byrow=TRUE)); so that the frst plot spans the both columns in row one. Now I'd like to magnify the fist figure so that it takes 20% more vertical space (i.e. more space for the y-axis). How would I do this in R?

Hello, I'm trying to find out the optimal number of splits (mtry parameter) for a randomForest classification. The classification is binary and there are 32 explanatory variables (mostly factors with each up to 4 levels but also some numeric variables) and 575 cases. I've seen that although there are only 32 explanatory variables the best classification performance is reached when

Hello, I've a very long character array (>500k characters) that need to split by '\n' resulting in an array of about 60k numbers. The help on strsplit says to use perl=TRUE to get better formance, but still it takes several minutes to split this string. The massive string is the return value of a call to xmlElementsByTagName from the XML library and looks like this: ... 12345

Is the pictex graphics device known not to support color? In R 2.0.1 Patched (2004-11-17), it produced very pretty output: ## pictex(file = "modern-metatheonomy.tex", bg = "transparent"); ## plotData(data); ## dev.off() ... but it appears to have ignored all color information. __________ Steve Rowley <steve.rowley at sanofi-aventis.com> Cambridge, MA: (617) 768-4054

Dear R Users, I am hoping you can help me. I have received code from a colleague who uses Matlab. I need to translate it into R. I am wondering if there is a randomization t-test (from non-parametric statistics) function already defined in R. (In Matlab the function is randtest.m.) ************************************************************************ ********** QUESTION: Is anyone

Hi I would like to superimpose group-specific densityplots on top of an overall histogram using panel.histogram and panel.densityplot. Furthermore, I would like to automatically adjust the range of the y-axis to take into account the ranges of both histogram and densityplot. This last part is where I have a problem. I believe using the prepanel argument of histogram is typically the way to go,

Dear All, I've a question about scaling the input variables for an analysis with svm (package e1071). Most of my variables are factors with 4 to 6 levels but there are also some numeric variables. I'm not familiar with the math behind svms, so my assumtions maybe completely wrong ... or obvious. Will the svm automatically expand the factors into a binary matrix? If I add numeric

Hello, I was wondering if there is an R-package to automatically calculate the IC50 value (concentration of a substrance that inhibits cell growth to 50%) for some measurements. kind regards, Arne [[alternative HTML version deleted]]

Hello, I want to do a surface plot with wireframe from the lattice package. As for now I use the following command : print(wireframe(m,main="% my title", colorkey=TRUE, col.regions=rainbow(100), drape=TRUE,aspect = c(1,1.0),ylab="y",xlab="x",zlab="z", scales=list(arrows=FALSE)),split=c(1,1,3,2), more=TRUE) How can I show the gridlines in a 3D surface

Dear R users, I used plot(x,y) to draw a scatter plot. I need to add another smaller histogram on the same plot I just had. However when I used hist(y), the histogram was on another page. Any suggestion? Best Regards, Philip [[alternative HTML version deleted]]

Is there any function like par(new=T) for lattice. I want to plot a histogram in percentages on the right hand side and also superimpose the densityplot with its density scale on the lhs. so far I am only able to do this histogram( temp[,2]~ temp[,1],nint=100,type="desnity", xlab = "Population Size", panel = function(x, ...) {