similar to: Boxplots: side-by-side

Dear R-sians Quick question... 1) From a flat (data) file with 100+ columns, how do I read specific columns instead of reading the entire dataset? I am trying to avoid reading the entire file followed by "subsetting". 2) is the a way to a call a column of dataframe through a variable.. e.g. e,g var="date" something like... data${var} <- "02 Oct 2009? Regards,

Dear R-sians! The following command works fine on Dos Prompt, but not in a windows batch script... dir /S /B C:\Progra~1\R\R* |findstr /I "rcmd.exe" |findstr /I "2.8.1" how do I implement the above in a windows batch script? I tried to use: for /F "usebackq tokens=*" %%i in (`dir /S /B C:\Progra~1\R\R* |findstr /I "rcmd.exe" |findstr /I

Dear R users: I have a continuous outcome variable and four predictors, two continuous and two dichotomous. i would like to use the lattice plot to create scatter plots for the continuous predictors and boxplots for the dichotomous predictors. with 4 continuous variables, this is what i have been doing: trial = rbind ( cbind ( cimt$ant.mean, cimt$age, 1 ), cbind ( cimt$ant.mean, cimt$sbp, 2 ),

Dear R-sians! I am trying generate a bunch of xyplots library(lattice) myPanel <- function(x,y,xl=range(x),yl=range(y),...) { panel.xyplot(x,y, pch=20,col='blue',cex=0.7,xlim=xl,ylim=yl,...) panel.abline(v=0, col='gray30',lty=2,lwd=1.5,...) panel.loess(x,y, span=2/3,family='gaussian',normalize=T,col='red',lwd=1.5,...) #

Good Morning, I am trying to get side by side boxplots of two groups on the same variable. The last item under ?boxplot led me to some useful code. I use "boxwex" to make the boxes narrower, "at" to shift them over and "add" to draw them both on the same graph. Something along the lines of: attach(group1) boxplot(Y~X, col="blue", boxwex=.4,

Hi - I have some data consisting of a number of observations within each of 15 countries. Each country falls into one of two groups. I'd like to use the lattice library's bwplot to present boxplots of the country-level data, with a separate panel for each group, but showing only the relevant countries in each panel. Here's an analogous example using the "singer" data

Hi R users: How can I obtain with bwplot boxplots with bwplot whose box width will vary acording to other variable. bwplot(categ1~continuos|categ2,box.ratio=continuos2,data=data.base) But it doesn't work as I expected. Thank you for your help. Kenneth

Hi All, I need a small help with following code: I'm trying to convert "dashed lines" to regular ones; and changing default "blue" border color to say "black"... but I'm doing it wrong and its not working. Can anyone help please. Thanks, Code: require(lattice) ex <- data.frame(x=1:10, y=rep(c("A","B"), 5)) bwplot(y~x, data=ex,

[Env: R 2.14.2 / Win Xp] In the examples below, I'm using lattice::bwplot to plot boxplots of 4 variables, grouped by a factor 'epoch' which also corresponds to a numeric year. I'd like to modify the plots to position the boxplots according to the numeric value of year, but I can't figure out how to do this. Also, I'd to modify the strip labels that give the variable

I currently have 3 separate boxplots but would like to put them all in the graphic so they would have the same scale. Below are the three statements and as you can see the Y axis is weight: bwplot(AWGT~ male2 .... bwplot(AWGT ~ bin_pcb2 ..... bwplot(AWGT ~ bin_pcb2 | male2 ..... Does anyone have some sample code where they have done something like this? Thanks, Dean Sonneborn M.S. Public

Hello This is Elaine. I am using package lattice to generate boxplots. Using Richard's code, the display was almost perfect except the outlier shape. Based on the following code, the outliers are vertical lines. However, I want the outliers to be empty circles. Please kindly help how to modify the code to change the outlier shapes. Thank you. code package (lattice) dataN <-

Hi All, I'm familiar with bwplot() in lattice package. Is it possible to get such a boxplot using lattice package: http://www.reading.ac.uk/ssc/publications/graphics/mma-fig1.gif instead of the following default: http://media.wiley.com/wires/WICS/WICS22/mfig005.gif My aim is to get a compact boxplot for publication. Having legend can help because otherwise x-axis labels are repeated for

Dear All I would like to produce interaction boxplots and this seems to work: par(mfrow=c(2,2)) A=sample(rnorm(50,50,10)) B=sample(rnorm(50,100,10)) Test=merge(A,B,by=0)#by=0 where 0 is the row.names TreatA=(gl(2,50,100,labels=c("High","Low"))) TreatB=rep(gl(2,25,50,labels=c("High","Low")),2) Newdata=data.frame(TreatA,TreatB,Test)

Hello R-User! I appologise in advance if this should also go into statistics but I am presently puzzled. I have a data.frame (about 300 rows and about 80 variables) and my variables are dichotomous factors, continuous (numerical) and ordered factors. I would like to calculate the linear correlation between every pair of my variables, because I would like to perform a logistic regression (glm())

Dear community I'm pretty new to R and I'm trying to do a Point-baserial correlation for a nominal dichotomous variable with a interval scaled variable. It works fine, but the output just shows me the correlation and nothing else (p-Value would be important). I tried it with the following codes: - biseral.cor() - cor.biseral() - I also tried a polyserial() I've found on this

Dear list, i have a quick and (hopefully) straightforward question regarding the plot-function after running aov. if i plot an equation like this: plot(dataSubjects~factorA, data=mydata) R gives me the boxplots for this particular factor A. my model, however contains several factors. is there a straightforward way to plot barplots for a specific factor with the constraint that those values

Hey R Users I like to control the ticks and labels in a boxplot as described for a xyplot below (thread in maillinglist in may 2003). Does anybody knows how it works? Thanks in advance Thomas Thread from May 2003 (http://tolstoy.newcastle.edu.au/R/help/03a/5604.html) Hello R Users! I'm using lattice to produce some graphs with logaritmic y-scales. I use the command xyplot(hits ~

I am trying to run a GLMM on some binomial data. My fixed factors include 2 dichotomous variables, day, and distance. When I run the model: modelA<-glmmPQL(Leaving~Trial*Day*Dist,random=~1|Indiv,family="binomial") I get the error: iteration 1 Error in MEEM(object, conLin, control$niterEM) : Singularity in backsolve at level 0, block 1 >From looking at previous help

Hello, I am running polychoric correlations on a dataset composed of 12 ordinal and binary variables (N =384), using the polycor package. One of the association (between 2 dichotomous variables) is very high using the 2-step estimate (0.933 when polychoric run only between the two variables; but 0.801 when polychoric run on the 12 variables). The same correlation run with ML estimate returns a

Hi everyone, Have sample of items for each one, a set of 20 dichotomous (absent-present) variables are expressed. I'm trying to understand how to explore the co-occurence of each variable. Read some papers concerning smallest space analysis, but it does not seems implemented in any R package (and my protamming skills are =0). Non metric MDS gives error messages, probably because of the