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thanks !!! On 12/08/10 17:49, William Dunlap wrote: > segments(x0=ix-w, x1=ix+w, y0=mediansByGroup, col=ix) >

Hi, I haven't found in R a possibility to draw a boxplot with a diamond shape (means and CI). Does anyone know how to plot it ? thanks,

Hi, is it possible to export the LDA model into a file so that it can be reused in R afterwards ? I have already checked the package "pmml" but does not seem to export LDA models. thanks, david

Hey, Here is a snippet that generated a boxplot and separates points so that they do not overlap. I have a problem to avoir text overlapping. Any help would be helpful. > attach(InsectSprays) boxplot(count ~ spray, data = InsectSprays, outpch = NA...

Hi , When using errorest on a large dataset (12000 variables) it performs very slow. By looking at the randomforest package it says that for largedatasets the use of the formula is discouraged. So it's better to use the x...

> str(data) 'data.frame': 250 obs. of 3 variables: $ student: chr "A" "B" "C" "D" ... $ data : num 20.2 20.4 22.5 22.1 23.3 ... $ param : Factor w/ 4 levels "AGE","SCHOOL",..: 1 1 1 1 1 1...

Go to Page 62 Chapter 5 Figure 5.3 Example of Means Diamonds http://www.google.fr/url?sa=t&rct=j&q=boxplot%20diamond%20shape&source=web&cd=14&ved=0CEgQFjADOAo&url=http%3A%2F%2Fwww.jmp.com%2Fsupport...

Hello, Sorry if this question has been posted before but could't find out exactly an answer to the question.... I'm doing bioinformatics and doing small RNA sequencing that make use of packages such as DESeq and EDGE. For...

Here is a snippet to show what i'm trying to do. library(randomForest) library(ROCR) library(caret) data(iris) iris <- iris[(iris$Species != "setosa"),] fit <- randomForest(factor(Species) ~ ., data=iris, ntree=50) train.predict <- predict(fit,iris,type="prob...

Hello, I have done a stepwise analysis to determine the best model fitting my data. data <- stepAIC( aov (Group)~ . , data=mydata) data > summary(data) Df Sum Sq Mean Sq F value Pr(>F) `a` 1 1.9829 1.98290 11...

Hi, I'm newbie with R and don't really know how to add a median line to each of the groups that is not all the plot long. Here is a small working code that i have adapted for...

Hi, I'm trying to select the best model for a particular problem. So far i have managed to identify a set of variables that woudl explain my model lm1 <- lm(Group ~ . , data=dataf)) > summary(lm1) Df Sum Sq Mean...

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat...

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat...

Here is a working snippet. library(epitools) mat <- matrix(c(10,15,60,25,98, 12,10,70,28,14, 9,11,68,10,12 ,8,13,20,11,58) ,ncol=2) colnames(mat) <- c("treatmentA","treatmentB") row.names(mat...

Works !! thanks On 05/20/2011 12:08 PM, Dennis Murphy wrote: > Hi: > > I'm not sure I have the student part right, but here's one way to get > the structure you're looking for with the reshape2 package...