similar to: e1071 probplot -grouping

Luisfo, Thank you so much! That does what I need. Best regards, Tom On Mon, Apr 4, 2016 at 10:51 AM, Luisfo Chiroque <luisfo89 at yahoo.es> wrote: > Dear Thomas, > > Reading the probplot?s help page, it looks like it is using qqplot > underneath. > Thus, I think this is what you need. > probplot(x, line=FALSE) > #probplot(y, line=FALSE) > qq.y <- qqnorm(y,

Dear Thomas, Reading the probplot?s help page, it looks like it is using qqplot underneath. Thus, I think this is what you need. probplot(x, line=FALSE) #probplot(y, line=FALSE) qq.y <- qqnorm(y, plot=F) points(qq.y$y, qq.y$x) I hope this is useful for you. Best Regards, Luisfo Chiroque PhD Student IMDEA Networks Institute http://fourier.networks.imdea.org/people/~luis_nunez/

The contributed package e1071 does exactly what I want except that I need to have (1) the abscissa and ordinate axes swapped, with the probability scale on the bottom and the quantiles scale on the LHS. Using the following example: library(e1071) x <- rnorm(100, mean=5) probplot(x, line=FALSE) and (2) I need to have lines connecting the plotted symbols, as you get with:

Hello! I am using probplot in the e1071 package and want to do something like the following, only with the the 2nd plot overlaying the first. I can't seem to make it work. Any suggestions? *library(e1071) **x <- rnorm(100, mean=5)* *y <- rnorm(100, mean=3)* *probplot(x, line=FALSE) * *probplot(y, line=FALSE) * *Regards,* *Tom* [[alternative HTML version deleted]]

Hello all, I am using RSPerl package to display plots in R . I want to be able to compare some data in boxplot and in histogram and in probplot ( from e1071 package) - ( cumulative probability plot - normal) I have a nested arrray of data ... from perl like the following data[0][0] = (1,2,3,.....) data[0][1] = ( 2,1,2,2,2,2,2) - could be different lengths... etc ( could be more two sets to

# R for Windows will not send your bug report automatically. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs at r-project.org # ###################################################### > help.search("normal probability plot") No help files found with alias or concept or title matching 'normal probability plot'

Hi all, I am a freshman of R,but I am interested in it! Those days,I am learning pages on NIST,with url http://www.itl.nist.gov/div898/handbook/eda/section3/probplot.htm, I am meeting a problem about probability plot and I don't know how to plot a data set with R. Could somebody tell me the answer,and a example is the best! I will look forward to your answer. Thank you very much.

Hello, When calling several times the svm() function, I get different results. Do I miss something, or is there some random generation in the C library? In this second hypothesis, is it possible to fix an eventual seed? Thank you Pierre ### Example library('e1071') x = rnorm(100) # train set y = rnorm(100) c = runif(100)>0.5 x2 = rnorm(100)# test set y2 = rnorm(100) # learning a

Hello all, this is the first time I'm using R and e1071 package and SVM multiclass (and I'm not a statistician)! I'm very confused, then. The goal is: I have a sentence with sunny; it will be classified as "yes" sentence; I have a sentence with cloud, it will be classified as "maybe"; I have a sentence with rainy il will be classified as "no". The

Dear list. I using the SVM-methods from the e1071, but I can't get the probabilities when predicting. Code: x <- matrix(rbinom(100, 10, 0.3), ncol=2) y <- apply(x, 1, sum) fit <- svm(y ~ x, method = "C-classification", kernel = "radial", probability = TRUE) predict(fit, x, probability=TRUE) Here predict doesn't containing any probabilities (not as attributes

Hi. I'm trying to plot a pair of intertwined spirals and an svm that separates them. I'm having some trouble. Here's what I tried. > library(mlbench) > library(e1071) Loading required package: class > raw <- mlbench.spirals(200,2) > spiral <- data.frame(class=as.factor(raw$classes), x=raw$x[,1], y=raw$x[,2]) > m <- svm(class~., data=spiral) > plot(m,

Hi! After unziping the CRAN file e1071.zip on my Win95 library directory, I start R and type >library(e1071) After that, help commands of the e1071 functions work (i.e., help(read.pnm), BUT some functions themselves are not available: > read.pnm Error: Object "read.pnm" not found I've looked at the file library/R/e1071 with an ascii editor and it seems like the functions

Hello, Connoisseurs! Please explain to novices, why svm model gives different results in the loop with the same data? As a result, I can not find the best gamma and cost parameters. Also tune.svm yields results that can not be repeated. How can I avoid this? My sessionInfo: R version 2.11.1 (2010-05-31) x86_64-pc-linux-gnu locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C

I am accustomed to the LIBSVM package, which provides cross-validation on training with the -v option % svm-train -v 5 ... This does 5 fold cross validation while building the model and avoids over-fitting. But I don't see how to accomplish that in the e1071 package. (I learned that svm(... cross=5 ...) only _tests_ using cross-validation -- it doesn't affect the training.) Can

R-help, I am trying to perform a basic anlaysis of the BreastCancer data from "mlbench" using the svm() function in "e1071". I use the following code library("e1071") library("mlbench") data(BreastCancer) BC <- subset(BreastCancer, select=-Id) pairs(BC) model <- svm(Class ~ ., data=BC, cross=10) ## plot(model, BC, ) tobj <- tune.svm(Class ~ .,

Hi everybody, I am new in e1071 and with SVMs. I am trying to understand the performance of SVMs but I face with a situation that I thought as not meaningful. I added the R code for you to see what I have done. /set.seed(1234) data <- data.frame( rbind(matrix(rnorm(1500, mean = 10, sd = 5),ncol = 10), matrix(rnorm(1500, mean = 5, sd = 5),ncol = 10))) class <- as.factor(rep(1:2,

Hi all, I've got the following error message in using e1071 svm routine... Could anybody please help me? Thank you! --------------------------------- model <- svm(y=factor(mytraindata[, 1]), x=mytraindata[, -1], probability=T) Error in if (any(co)) { : missing value where TRUE/FALSE needed In addition: Warning message: In FUN(newX[, i], ...) : NAs introduced by coercion

Hello, I am trying to import data from Matlab.. when i looked up R documentation, it says, package "e1071" have command (read.octave) to import data from octave. but when I tried to install package by using: install.packages("e1071"); I got the following message: ( BTW, my platform is linux version 2.4.18-3 my gcc is 2.96). * Installing *source* package 'e1071' ...

This could be a bug in the e1071 svm code, but maybe not -- I guess I'll send it here anyway. It's reproducible. > x <- seq (0.1,5,by=0.05) > y <- log(x) + rnorm (x, sd=0.2) > library(e1071) > m <- svm (x,y) Process R segmentation fault at Tue Nov 20 23:34:19 2001 > version _ platform i686-pc-linux-gnu arch i686 os

After upgrading to 1.7.0 under debian linux, I can't get e1071 working properly. The first problem I had was that g++-3.0 was the standard compiler but wasn't installed, so I installed it. e1071 then installed correctly, but I get the following: aperrin at perrin:~/afshome/papers/authoritarian/R$ R R : Copyright 2003, The R Development Core Team Version 1.7.0 (2003-04-16) R is free