similar to: Figures within tables [slightly off-topic]

Dear Rusers, My manuscript has been conditionally accepted recently. The problem to generate the high resolution figures in R for the manuscript cannot be solved by me. The journal editor ask me to generate the figures with a minimum resolution of 500 dpi. I have tried the *menu-driven method* to save the figures as JPEG (100% printed quality), but the results seem not to be very good. I have

Dear R-listers, I am a relatively inexperienced R-user currently migrating from Stata. I am deeply frustrated by this data manipulation question: I know how I could do it in Stata, but I cannot make it work in R. I have a data frame of hospitalization data where each row represents an admission. I need to know when patients were first discharged, but the problem is that patients were sometimes

Dear R-Listers, I am a Windows user (R 2.6.2) using the development version of sqldf to try to read a 3GB file originally stored in .sas7bdat-format. I convert it to comma-delimited ASCII format with StatTransfer before trying to import just the rows I need into R. The problem is that I get this error: > f <- file("hugedata.csv") > DF <- sqldf("select * from f where

Dear all, A journal in which we wanted our manuscript published requires the figures as a tiff, eps or PowerPoint formated. I tried converting .jpeg files to these formats but it looses its quality both on the screen and on paper. Could some one please help. Thanks in advance, ____________________ Sivakumar Mohandass, Department of Entomology, Kansas State University [[alternative HTML

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

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())

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

I think questions about gtsummary are better addressed to that project. They have a link "Getting Help" on their web page; I'd start there: https://www.danieldsjoberg.com/gtsummary/SUPPORT.html Duncan Murdoch On 27/03/2023 2:19 p.m., Deramus, Thomas Patrick wrote: > Hi R Experts. > > Apologies if this has been shared elsewhere, but I haven't been able to find a

I'd like to estimate an ordinal logistic regression with a random effect for a grouping variable. I do not find a pre-packaged algorithm for this. I've found methods glmmML (package: glmmML) and lmer (package: lme4) both work fine with dichotomous dependent variables. I'd like a model similar to polr (package: MASS) or lrm (package: Design) that allows random effects. I was

Looks like I''ll be in Austin from Tuesday (late) night until Saturday morning. Any Puppeteers in Austin who want to get together? I''ve got vague plans to hang out with whurley, but I''d love to meet a few more people in the community. Wednesday, Thursday, or Friday night should work fine (although not all three). -- Always behave like a duck - keep calm and

I am trying to send a manuscript to a journal. One of the figures build by R is in the right orientation and 4 are rotated clockwise 90 deg in the preview. I used the right click save to PS option and I used the command line postscript("c:/temp/fig04.eps",bg="transparent",onefile = TRUE ,pointsize=20,paper = "letter",height=8,width=8,horizontal=FALSE,family =

A big thank you to everyone who attended the CentOS Dojo in Brussels a week ago. We had about 75 people in attendance (101 registered) and we had two tracks of great presentations. If you did not make it to the event, you can still catch all of the presentations on our YouTube channel, at https://www.youtube.com/user/TheCentOSProject/playlists Unfortunately, you miss out on the great

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, I am a new user of "R", I am trying to read my data in.. "Cervixhc.dat" used to be in a different directory, now it has been moved to "O:\E&s\APC cervix FINAL (YG,MC,MD)\Manuscript\Data", but when I ran the following program (in red) I got an error message "Error in setwd(dir) : cannot change working directory", and "Error in file(file,

Is it possible to fit a structural equation model with link functions in R? I am trying to build a logistic-regression-like model in sem, because incorporating the dichotomous variables linearly seems inappropriate. Mplus can do something similar by specifying a 'link' parameter, but I would like to be able to do it in R, ofcourse. I have explored the 'sem' package from John Fox,

Dear Rgurus, Interaction terms in the linear models function lm are specified by the colon : eg: x ~ a + b + a:b a shortcut for the above is: x ~ a*b the output if calling anova on the lm object will be the same in both cases a .... b .... a:b ... Resdiuals ... What I am wondering is how the interaction term (a:b) given above should be written in a table in an manuscript? a ) a*b b )

Hi, does anyone know how to make decimal points midline when plotting? The journal to which we are going to submit a manuscript require this particular formatting, and it gives direction how to do this on PC: hold down ALT key and type 0183 on the number pad Thanks John [[alternative HTML version deleted]]

Dear R-listers, I am building a prediction model starting with many, many variables. I use the 'stepAIC' procedure in the MASS package, and the model building process takes several hours to complete. At the very end, I am occasionally confronted with warnings like this one: Warning messages: 1: In fitter(X, Y, strata = Strata, offset = offset, weights = weights, : Loglik converged

Dear R-sians.. I am trying to plot boxplots with side-by-side option.. I tried some of the posted suggestions and could not make it work due to unequal sizes of categories... e.g. weekly measured water depth values are categorized into 5 levels based on their values such measurement is again categorized into dichotomous levels - based on the result of a test I would like generate boxplot of

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 ),