similar to: Performance of concatenating strings

Hallo, we are trying to extend the R package multcompView in agreement with the author Hans-Peter Piepho. The function multcompLetters implements so far a heuristic. We would like to add a function that implements an exact algorithm and returns a provable optimum result. This algorithm has been implemented in Objective Caml and we would like to reuse this code. We wrote an R function

Hello everybody, I use the sweetpotato database included in R package: data(sweetpotato) This dataset contains two variables: yield(continous variable) and virus(factor variable). Due to Levene test is significant I cannot assume homogeneity of variances and I apply Welch test in R instead of one-way ANOVA followed by Tukey posthoc. Nevertheless, the problems come from when I apply posthoc

Hi all, Is there a R-function that orders Tukey results with conveniant letters, similar to the SPSS output (A, AB, ABC, C, etc.) . [[alternative HTML version deleted]]

Hi list, I have a question regarding post-hoc extraction of data from a two-way categorical anova. I have a categorical anova of this form: width ~ steepness + patchiness (4 steepness levels, 4 patchiness levels) This simple setup answers if for the widths I collected across different levels of steepness and patchiness significant differences can be found. Is there a way to look at these

On Mon, Sep 20, 2010 at 3:16 PM, Talin <viridia at gmail.com> wrote: > So I've managed to get my stack crawler working and passing its unit tests > - this is the one I've been working on as an alternative to shadow-stack: it > uses only static constant data structures (no global variables or > thread-local data), which means that it's fully compatible with a >

I am interested in using "multcompLetters" after running "kruskalmc" but I'm a newbie and I'm not having luck figuring it out. I can run "kruskalmc" just fine, but after studying the documentation for "multcompletters" for a long time, I cannot figure out how to make it work. Any ideas? R input is below > >> #here is my data set >>

So I've managed to get my stack crawler working and passing its unit tests - this is the one I've been working on as an alternative to shadow-stack: it uses only static constant data structures (no global variables or thread-local data), which means that it's fully compatible with a multi-threaded environment. One question that has arisen, however, is what to do about function

On Tue, Sep 21, 2010 at 8:20 PM, Talin <viridia at gmail.com> wrote: > On Mon, Sep 20, 2010 at 3:16 PM, Talin <viridia at gmail.com> wrote: >> >> So I've managed to get my stack crawler working and passing its unit tests >> - this is the one I've been working on as an alternative to shadow-stack: it >> uses only static constant data structures (no

Hi, I use glht to make multcomp, using Tukey, from a glm model. It is possible to get a more simplified output of result? Somethink like ordering by letters. Thanks Ronaldo -- Human kind cannot bear very much reality. -- T. S. Eliot, "Four Quartets: Burnt Norton" -- > Prof. Ronaldo Reis J?nior | .''`. UNIMONTES/Depto. Biologia Geral/Lab. de Ecologia | : :' :

Hi everyone, Has anyone written a parser in Java for either the ASCII or binary format produced by save()? I need to parse a single large 2D array that is structured like this: list( "32609_1" = c(-9549.39231289146, -9574.07159324482, ... ), "32610_2" = c(-6369.12526971635, -6403.99620977124, ... ), "32618_2" = c(-2138.29095689061, -2057.9229403233, ... ),

Hello, I am interested in generating a compact letter display for the results of Tukey HSD tests that contain interaction effects. The 'cld' method in the 'multcomp' package seems only to work for main effects. Does such a thing exist already? Thank you for any thoughts, Josh -- Joshua Caplan, PhD Postdoctoral Associate Department of Ecology, Evolution, and Natural Resources

I am calling R from within Java. But I don't think that I can get any plots written to file from R - inside Java. This snippet of code(from a larger piece of code) compiles in Java, but doesn't do anything! functions.append("trial<-c(1,3,4,5)\n"); functions.append("dawpdf<-function(filename){\n");

Hi! I have been working several years with R but it's my first public question. I hope I'll be clear :) . This question is related to obtaining letter-based representation of non-parametric pairwise comparisons. I have a dataframe with this structure (but with quite more rows and cols): A B C factor 1 2 2 one 2 1 2 one 2 2 3 two 2 3 2 two 1 4 2 three 9 8 1 three I have no normality,

Hello dear R-help mailing list, A friend of mine teaches a regression and experimental design course and asked me the following question. She is trying to find a way to display the "homogeneous groups" (after performing tukey test on an aov object). here's an example for what she means by "homogeneous groups": She did one way anova and got these results for tukey test:

R-users, I want to concatenate columns from different files in a single object. I'm doing bad. My peace of code is as follow: rawdata <- list.files("./data") for (i in rawdata) { mat[ ] <- read.table(paste(i ,sep="")) } At the end of the loop I have just one column. What I'm doing wrong? Thanks, Fred -- View this message in context:

Hi all, is it possible to concatenate expressions and basic text when for instance labeling axis of a plot? I would like to see something like the concatenation of expression(C[0]) and "for case 1" on my x axis. Obviously a plot(x, y, xlab=paste(expression(C[0])," in case1")) will not work. Thank you in advance, ----- TO GET MORE DETAILS CLICK HERE --

I am trying to concatenate 2 datasets that don't have exactly the same column. In SAS I did: data summary; set agency prop; run; No problem in R I get error message summary <-rbind(agency,prop) Error in match.names(clabs, names(xi)) : names do not match previous names But when I use rbin.fill, that overwrites the second file w/ first one. Is there a way to replicate the sas process

Hi How do I concatenate two lists element-by-element? Example: list.1 <- list(temperature=c("hot","cold") , size=c("big","medium")) list.2 <- list(temperature=c("lukewarm") , size=c("massive","tiny")) list.wanted <- list(temperature=c("hot","cold","lukewarm") ,

Hey there, I'm pretty sure I've found a bug with doveadm when concatenating with another search key. While doveadm HEADER <field pattern> works fine when not using additional search keys, it doesn't work properly when concatenating with other serarch keys - it then simply seems to ignore the additional HEADER <field pattern> search key. It's reproduceable, also

Hi, what is the recommended way to vertically concatenate 2 data frames with the same column names but different number of rows? My problem is something along these lines: df1 <- data.frame(var1=var1,var2=var2,var3=var3) # nrow(df1)=1000 df2 <- data.frame(var1=var4,var2=var5,var3=var6) # nrow(df2)=2000 I tried df <- c(df1,df2), no success. stack does not seem to be appropriate