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Dear Colleagues, We are attempting to create trees using R with our Ruby on Rails application. However, we are running into a problem involving the creation of the graphic. We would like them to be in either jpg or png format so that users can save, but due to a lack of control over our sever we are unable to start X11 server. Is there a way to create these images without using X11 server?

To whom it may concern: My name is Jillian Weinfeld. I am currently and undergraduate student at New York University and working at Mount Sinai School of Medicine doing research with epilepsy patients. At the moment I am creating a manhattan plot with my data set. After reading many forums and such, I have appropriately plotted my data, however, I wanted to see how I can change the colors of the

I am new to R. I have a data set like this (given below is a fictional dataset): AgeCat FINWT 1 98 2 62 1 75 3 39 4 28 2 47 2 66 4 83 1 19 3 50 I need to calculate the weighted distribution of the variable AgeCat. In SAS i can do: proc freq data=ageval; tables agecat; weight finwt; run; What or is there an equivalent in R? TIA, Krishnan -- Krishnan Viswanathan 1101 High Meadow Dr

I have a set of data that includes various data columns. One if the survival time and another if a continuous variable of ages. I want to put the ages into intervals so that I can then perform the Kalpan Meier test. I am trying to use the following code to build a column with the age group numbers in agecatagory<-c( ) for (i in 1:137) { { if(age[i]<=46) {agecat[i]<-1} if(age[i]>46

Dear, I want to fit an inverse gaussion distribution to a data set. The predictor variables are gender, area and agecategory. For each of these variables I've defined a baseline e.g. #agecat: baseline is 3 data<-transform(data, agecat=C(factor(agecat,ordered=TRUE), contr.treatment(n=6,base=3))) The variable 'area' goes from A to F (6 areas: A,B,C,D,E,F) How can i

Hi everyone, my apologies in advance if I'm overlooking something simple in this question. I am trying to use R's survey package to make a direct method age-adjustment to some complex survey data. I have played with postStratify, calibrate, rake, and simply multiplying the base weights by the correct proportions - nothing seems to hit the published numbers on the nose. I am trying to

Hi! I am quiet new with R and I have some problems to perform a posthoc test with an lme model. My model is the following: >lme1<-lme(eexp~meal+time, random=~1|id,na.action=na.omit) and then i try to get a post hoc test: >summary(glht(lme1,linfct=mcp(meal="Tukey))) but I get a warning message: Erreur dans as.vector(x, mode) : argument 'mode' incorrect Thank you for your

I have a variable which is roughly age categories in decades. In the original data, it came in coded: > str(xxx) 'data.frame': 58271 obs. of 29 variables: $ issuecat : Factor w/ 5 levels "0 - 39","40 - 49",..: 1 1 1 1... snip I then defined issuecat as ordered: > xxx$issuecat<-as.ordered(xxx$issuecat) When I include issuecat in a glm model, the result

R 2.8.1 windows XP I am getting an error message that I don't understand when I try to run GLM. The error only occurs when I have all independent variables in the model. When I drop one independent variable, the model runs fine. Can anyone help me understand what the error means and how I can correct it? Thank you, John > fit11<-glm(AAMTCARE~BMI+BMIsq+SEX+jPHI+jMEDICAID+factor(AgeCat)+

I''ve heard that using LIKE is very slow, but I see it being used a lot in examples, blogs etc. Is it really that bad? Since Rails doesn''t directly support Fulltext search, this is the easiest way to get searching done, right? Or are there any other easier ways? I''m using acts_as_indexed right now, but it still doesn''t do what LIKE does.

Hi, I'm working on some social networks and I managed to create the graphs with labels and edges weight, but I would also like to change the size of the vertices according to the age of the persons in the network and the shape according to the gender. Now for the age, I have people with ages between 20 and 78, and I would like to have 4 categories (sizes): 20-35, 36-50, 50-65, >65. I have

I am doing group wise plots by using the following commands; it shows errors that I do not know how to fix it. Please help. xyplot(within.2.special.care ~ agecat| mco.cms.ind, neuro, panel = function(x,y){ + panel.grid() + panel.xyplot(x,y) + panel.loess(x,y, span =1)}) Error: couldn't find function "xyplot" [[alternative HTML version deleted]]

Dear R users I am analysing data from a group of twins and their siblings. The measures that we are interested in are all correlated within families, with the correlations being stronger between twins than between non-twin siblings. The measures are all calculated from survey answers and by definition have limited ranges (e.g. -5 to +5), though within the range they are approximately normally

I am new in using R. I want to know all about building decision tree model in R. Few options which I searched are rpart and rattle to build a decision tree.Both the functions are giving me splits which are statistically appropriate. But I am not able to figure out how to change those splits as per my business requirement. for example : the automatic split of Age by using rattle is > 30 and

Hello R-experts, I have a set of data as follows: age time 1 28 1 2 53 2 3 53 3 4 36 4 5 54 4 6 46 4 7 45 5 8 31 6 9 53 7 10 35 7 11 62 8 12 19 8 13 43 2 14 51 3 15 45 0 16 48 2 17 49 3 18 57 2 19 45 3 20 27 10 21 33 12 22 29 14 23 46 16 24 45 19 25 43 2 26 28 6 27 50 7 28 28 4

R Fans-- I am having problems with the following code. It worked under R 2.6.0 but not in 2.7.0. > library(Epi) > df <- read.table( "c:/Documents and Settings/Troy S/My Documents/debug_chisq_080613b.txt") > summary(df) cvd agecat Min. :0.0000 (0,40] :1 1st Qu.:0.0000 (40,60]:2 Median :0.0000 Mean :0.3333 3rd

Due to missing data with some of my predictor variables I first do multiple imputation as follows: library(foreign) library(Amelia) library(norm) set.seed(666) M=10 impdat <-

Dear r-help, I am trying to plot several scatter plots with marginal histograms on one page. Ideally, a page is equally divided into 4 figure regions. Within each figure region, a scatter plot with marginal histograms will be plotted. I followed Dr. Paul Murrell's code released online to successfully plot the scatter plot with marginal histograms. The code applies "layout()" to

Just a poll here i am looking for a good IDE for rails and wondering what you guys use? features i like in an ide code highlites auto code complete file browser Currently i am using dreamwever but the code highliting is really bad its also a pain to set up other doucment types such as .yml data config. -- Posted via http://www.ruby-forum.com/.

Hi, I get a lot of error messages with this command, but I don't understand why; plot(c(),c(), xlim=c(1,10), ylim=c(0,10000), log="y") thanks for any help! [[alternative HTML version deleted]]