similar to: help to slip a file name using "strsplit" function

Dear Reasearchers, I am writing a report and i need (and wish) cite R. somebody know the citation of R for the 2012? or the more actual? thanks in advance Gianni [[alternative HTML version deleted]]

Dear Members list, I am writing a paper for a research where i used "the R Stats package". No one knows the right reference for this package? Thanks in Advance Gianni [[alternative HTML version deleted]]

Dear researchers I wish to plot a box plot without the mean line (the black line) and the i wish a full line for the standard deviation This is an example mytest <- c(2.1,2.6,2.7,3.2,4.1,4.3,5.2,5.1,4.8,1.8,1.4,2.5,2.7,3.1,2.6,2.8) boxplot(mytest) really thanks Gianni [[alternative HTML version deleted]]

Dear Researchers, I am looking a way to disable the Error massage in read.table() as warn = TRUE in readLines(), when the lines are empty Error in read.table(con, header = F, sep = " ", nrow = n) : no lines available in input thanks for all suggestions Gianni [[alternative HTML version deleted]]

Dear Researchers, sorry for the easy question but Is it possible to plot with an interval of 1 or .5 in a plot using ylim? Thanks gianni x = 0:10; y = 0:10; plot(x~y,ylim=c(0,10),las=1) [[alternative HTML version deleted]]

dear Researchers, i am looking for a function to plot a barplot for each mean value and the related standard deviation, and i can close my week. This is an example of my data set. really Thanks in advance for any help or suggestions Gianni My.mean <- data.frame(Mean=c(0.4108926,0.3949009,0.4520346, 0.4091665,0.4664066,0.3048296,0.4297226,0.4056383,

Dear Researches, sorry for disturb. I wish to improve my figure in R plotting the relative frequencies of my data set. library(lattice) a <- c(0,0,0,1,1,2,4,5,6,7,7,7,7,7,8,8,8,8,9,9,9,9,10,10,11) histogram(a, xlab="myData") what i wish to do is: 1) invert the order of X and Y (eg: Precent of Total on X-axis and "MyData" on X-axis) 2) plot not the bar of histogram but a

Hi, I have Forecast Class and Observed Class in a data matrix as below. > Sample1 FCT OBS 1 1 5 2 2 4 3 3- 3+ 4 3 3 5 3+ 3- 6 4 2 7 5 1 I want to find the difference between Observed and Forecast Classes. How can I get this done? I tried to following to convert the 1 through 5 classes, to 1 through 7 for both OBS and FCT column. > Sample1$OBS2 <- Sample1$OBS

Dear Researchers, I have a data.frame with 2 columns like this: mydf <- data.frame(value=c(1,2,3,4,5),ID=c("Area_1","Area_2","Area_3","Area_4","Area_5")) > mydf value ID 1 1 Area_1 2 2 Area_2 3 3 Area_3 4 4 Area_4 5 5 Area_5 I need to convert the *ID *in the following version > mydf value ID newID

Dear Researchers, I have a large TXT (X,Y,MyValue) file in a directory and I wish to import row by row the txt in a loop to save only the data they are inside a buffer (using inside.owin of spatstat) and delete the rest. The first step before to create a loop row-by-row is to know how many rows there are in the txt file without load in R to save memory problem. some people know the specific

Dear experts, Please forgive the puzzled title and the length of this message - I thought it would be best to be as complete as possible and to show the avenues I have explored. I'm trying to fit a linear model to data with a binary dependent variable (i.e. Target.ACC: accuracy of response) using lrm, and thought I would start from the most complex model (of which "sample1.lrm1" is

Hello all, I have what feels like a simple problem, but I can't find an simple answer. Consider this data frame: > x <- data.frame(sample1=c(35,176,182,193,124), sample2=c(198,176,190,23,15), sample3=c(12,154,21,191,156), class=c('a','a','c','b','c')) > x sample1 sample2 sample3 class 1 35 198 12 a 2 176 176

Dear Researchers, someone know the right syntax to chose a 5% significance level (threshold) for the inclusion of the model variables in a multiple (linear) regression in backward way? I set the formula in this way, but I don't know to choose the 5% significance? lmodelV <- step(lm(formula=MyFormula[[1]],data=LR.train),direction="backward") thanks in advance gianni

Dear researchers I wish to plot a box plot without the mean line (the black line) and plot only the mean (red square). Futhermore, is it possible to add standard error and/or stadard deviation? This is an example mytest <- c(2.1,2.6,2.7,3.2,4.1,4.3,5.2,5.1,4.8,1.8,1.4,2.5,2.7,3.1,2.6,2.8) boxplot(mytest,lty = "solid") means <- mean(mytest,na.rm=TRUE) points(means, pch = 22, col

dear reserachers, I am looking for a expression about a special symbol (±) in a Legend and add on front of "Mean ± SD" the symbol of bracket sorry if the example is not great disptest <- matrix(rnorm(10),nrow=10) disptest.means<- rowMeans(disptest) plot(1:10,disptest.means) dispersion(1:10,disptest.means,(disptest.means+disptest ),(disptest.means-disptest

Dear Researchers, I need to convert the following equation in R from Matlab a = [x y ones(size(x))]; b = [-(x.^2+y.^2)]; a\b ans = -9.9981 -16.4966 -7.6646 my solution in R is: a = cbind(x,y,rep(1,length(x))) b = cbind(-(x^2+y^2)) > head(a) x y [1,] 14.45319 5.065726 1 [2,] 14.99478 5.173893 1 [3,] 14.64158 5.616916 1 [4,] 14.61803 6.624069 1 [5,] 14.19997

Dear Member list, is there a weblink or a paper where the total number of citations for R project is report? Thanks in advance Gianni [[alternative HTML version deleted]]

Dear Researches, sorry for the easy and common question. I am trying to justify the idea of RandomForest don't require a transformations (e.g. logarithmic) of variables, comparing this non parametrics method with e.g. the linear regressions. In leteruature to study my phenomena i need to apply a logarithmic trasformation to describe my model, but i found RF don't required this approach.

Dear Researches, I am using RF (in regression way) for analize several metrics extract from image. I am tuning RF setting a loop using different range of mtry, tree and nodesize using the lower value of MSE-OOB mtry from 1 to 5 nodesize from1 to 10 tree from 1 to 500 using this paper as refery Palmer, D. S., O'Boyle, N. M., Glen, R. C., & Mitchell, J. B. O. (2007). Random Forest Models

Hi group, This is how my test file looks like: Chr start end sample1 sample2 chr2 9896633 9896683 0 0 chr2 9896639 9896690 0 0 chr2 14314039 14314098 0 -0.35 chr2 14404467 14404502 0 -0.35 chr2 14421718 14421777 -0.43 -0.35 chr2 16031710 16031769 -0.43 -0.35 chr2 16036178 16036237 -0.43 -0.35 chr2 16048665 16048724 -0.43 -0.35 chr2 37491676 37491735 0 0 chr2 37702947 37703009 0 0