similar to: plot with ylim with regural interval

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 have several files as this example: Myfile_MyArea1_sample1.txt i wish to split in "Myfile", "MyArea1", "sample1", and "txt", becasue i need to use "sample1" label. I try to use "strsplit" but I am able just to split as "Myfile_MyArea1_sample1" and "txt" OR "Myfile", "MyArea1",

Dear Researchers, sorry for this simple question. I have a point plot with mean values and i wish to plot line with Standard Deviation as "Whiskers". I calculate the mean+sd and mean-sd, but i can not figure out the way to add the line. mydata <- data.frame(mean=c(0.42,0.41,0.41,0.43,0.45,0.43,0.43,0.42,0.44,0.45,0.45,0.45,0.46,0.43,0.42,0.37,0.44,0.46,0.46,0.39,0.40),

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 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 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 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 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 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

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 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 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

list(...), I would like to zoom in to the leaves of large trees in a dendrogram plot. The playwith package allows zooming by passing xlim and ylim arguments to the plot call (Hmisc does this too I think). But currently stats:::plot.dendrogram does not accept xlim or ylim. So I would like to enable that. In place of the existing code chunk: xlim <- c(x1 - 1/2, x2 + 1/2) ylim <- c(0,

Hi, I am using the following code as an example function to create multiple y-axes on one plot. I have it working fine however, I can't seem to add a label on the second (right) axis. I have tried adding ylab="y2" in the axis call but, that didn't work; any ideas? Thanks, Jesse Code: function() { par(las=1,xaxs="r",mai=c(1,0.75,1,1)) x<-1:10 y1<-x

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 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, Dear R community, I am using the following codes to plot, however, the lines code works. But the line was not drawn on the previous plot and did not shown up. How comes? # specify the data for missense simulation x <- seq(0,10, by=1) y <- c(0.952, 0.947, 0.943, 0.941, 0.933, 0.932, 0.939, 0.932, 0.924, 0.918, 0.920) # missense z <- c(0.068, 0.082, 0.080, 0.099, 0.108, 0.107,