Re: [R] [EXTERNAL] Re: bug in Windows implementation of nlme::groupedData

, but it still seems strange that the function cannot find X in its search path. Thanks again! Melissa -Original Message- From: John Fox Sent: Friday, January 7, 2022 4:35 PM To: Key, Melissa Cc: r-help@r-project.org Subject: [EXTERNAL] Re: [R] bug in Windows implementation of nlme::group

[R] bug in Windows implementation of nlme::groupedData

arkdown_2.11 [29] callr_3.7.0purrr_0.3.4magrittr_2.0.1 scales_1.1.1 codetools_0.2-18 ps_1.6.0 htmltools_0.5.2 [36] ellipsis_0.3.2 splines_4.1.2 colorspace_2.0-2 KernSmooth_2.23-20 utf8_1.2.2 visNetwork_2.1.0 munsell_0.5.0 [43] crayon_1.

[R] Fwd: Vegan Function anova.cca: No Significance Codes Legend in Output

F Pr(>F) Model 3 0.188246 6.9836 0.225 Residual 1 0.008985 *Significance code legend should be listed here with asterisk's denoting the p-values* Thanks for your time! Melissa [[alternative HTML version deleted]] __ R-help@r-pro

Re: [R] path reference problems in R 3.0.0

ry under your Documents folder... > > C:\Users\melissa\R\win-library\3.0 > > should normally be > > C:\Users\melissa\Documents\R\win-library\3.0 > > on a Win7 system. This mis-location may be related to your problems. This sounds like a potential culprit (along with c).

[R] path reference problems in R 3.0.0

Hi- I just upgraded R to 3.0.0 from 2.15.1 (which worked fine). When I started trying to install updated versions of the libraries, I saw the following error: > install.packages("lme4") Installing package into 'c:/Docume~1/melissa/R/win-library/3.0' (as 'lib&

Re: [R] In mean.default(X[[50L]], ...) : argument is not numeric or logical: returning NA

Hi Arun, Thank you so much for your help. In the end, I wound up using: sp.data$spores<-as.numeric(as.character(sp.data$spores)) The stats guy on campus helped me :) Be well, Melissa From: arun kirshna [via R] [ml-node+s789695n4646457...@n4.nabble.

[R] trouble with ifelse statement

eak.cort == 'max' raw.saliva.data$max.cort[index] <- ifelse(sample>1 && sample<5, raw.saliva.data$cortisol[index], NA) * and I get this error: Error in sample > 1 : comparison (6) is possible only for atomic and list types I can't f

[R] max value

Here is an R problem I am struggling with: My dataset is organized like this... subject sessionvariable_x variable_y 01 11 01 12 01 13 01 2

[R] using "factor" to eliminate unused levels without dropping other variables

Hello, I have been banging my head against the wall trying to figure out this seemingly simple problem with no success. I'm hoping that one or some of you can help. Here is the code I am trying to use: #importing data data.file <-read.csv("/file/location", header=TRUE, sep = ",") #selecting a su

[R] finding rows in a matrix that match a vector

ed to input into 'apply' to use this. Thanks in advance for the help! Cheers, Melissa -- Melissa Patrician School of Marine and Atmospheric Sciences Stony Brook University Stony Brook, NY 11794-5000 Challenger 145 melissa.patric...@stonybrook.edu [[alternative HTML versio

[R] Zero-inflated Negative Binomial Error

ectors with just a negative binomial model (glm.nb), and I get the same error. Can anyone provide some insight into what is going on? Thanks! Best, Melissa -- Ph.D. Candidate Department of Biology University of Virginia P.O. Box 400328 Charlottesville, VA 22904-4328 [[alternative H

[R] Help Please!!!!!!!!!

may know how to help me, that would be much appreciated. Thank you, Melissa Waldman my email: melissawald...@gmail.com NoneLight Medium Heavy SM 4 2 3 2 JM 4 3 7 4 SE 25 10 12 4 JE 18 24 33 13 S

[R] dnorm Line Plot Graphics

Hello, 1. I have a number of snow depth measurements (centimeters depth) that were acquired in a row (linear transect). A: I am trying to plot the probability density function (PDF) of these points. When I use the "dnorm" command and line type = points, the PDF is displayed correctly. When I

Re: [R] do faster ANOVAS

Thank you, with the matrix for the responses (here my 101 timepoints), it takes less than 30 minutes for 1000 pemutations, whereas before it takes 2h30! Best regards, Mélissa > Message du 10/06/10 18:52 > De : "Douglas Bates" > A : "melissa" > Copie Ã

[R] do faster ANOVAS

Dear all R users, I want to realize 800 000 ANOVAS and to store Sum of Squares of the effects. Here is an extract of my table data Product attribute subject rep t1 t2 t3 … t101 P1 A1 S1 R1 1 0 0 … 1 I want to realize 1 ANOVA per timepoint and per attribute, there are 101 timepoints and 8 attr

[R] Tukey test for Mixed Effects Model with more than 1 fixed effect?

r one or the other. summary(glht(CB.lme,linfct=mcp(In_Out="Tukey"))) Does anyone know how to incorporate more than one fixed effect in lme post hoc tests? Thanks! Melissa Evanson The summary output for the model: Linear mixed-effects model fit by REML Data: Su

[R] getting off this mailing list

Could I please be removed from this mailing list? Thanks, Melissa - [[alternative HTML version deleted]] __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read

[R] what does cut(data, breaks=n) actually do?

s the data into n distinct bins. Can anyone tell me how cut() decides where to cut? Thanks, Melissa ------- Melissa Cline, Independent Investigator MCD Biology, UCSC [[alternative HTML