similar to: Regions of significance plots with ggplot2

Greetings, I am working on creating an interactive website that will generate R-code for users based in the information they input on the site. Currently, the R-code can be generated and downloaded to be run locally on a computer with R. However, I have noticed a number of applications out there that instead submit the code directly to an R-web server. Some examples seem to be:

Dear R experts, I would like to get an R^2 - like value for a multilevel regression using lme. I followed an archived suggestion by José Pinheiro to use the squared correlation between fitted and observed values, i.e., (cor(fitted(model.lme), getResponse(model.lme))^2 but getResponse returns the error message Error in val[, level] : incorrect number of dimensions The same happens with

Hi R-Help, data at bottom I've been struggling with a problem where I need to order based on 1) the Frequency "Freq" and 2) keeping each group of 3 of the same type together "Var2" but I want across all groups it to go "high to low" based on the earn factor. Thank you! structure(list(Var1 = structure(c(1L, 3L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L,

I have a dataset and a list of labels. I simply want to apply the labels to the variables, all at once. The only way I was able to do it was using a loop:     for (i in 1:length(data))  label(data[,i]) <- data.labels[i] I'd like to find the non-loop way to do it, using apply or the like... Any help appreciated. [[alternative HTML version deleted]]

On 4/15/20 11:16 AM, Richard W.M. Jones wrote: > A fairly straightforward replacement, but note that we must rename all > variables called ‘regions’ as something else (eg. ‘rs’) because > -Wshadow warns about them (which is surprising to me since I thought > this warning only applied to local vs global variable, not local > variable vs global typedef). > > Also I got rid of

Hi Everybody In R, the XLConnect package can read and write named region to and from Excel. In order to read a named region with the readNamedRegion function you need to know it's name. You can check is a name exists with existsName, but you still have to know the name. Is there a way to actually get a list of the named regions in XLConnect sinilar to getRanges in the xlsx package. On that

Dear All, This may be a silly question, but I have tried searching through a few of the existing threads already, and haven't found any information on this. I am trying to color code entire continents/regions (Asia, North America, Africa, etc.) based on the number of relevant companies. The data would look like: World Location Companies North America 4848 Western Europe 1972 East Asia

Dear R community, For 100 sites at human chromosomes, I ran two tests, one is to consider an experiment measurement as a continuous variable, so doing multiple regression; the other is to compare top 25% samples to bottom 25% samples based on values of the measured variable, so categorical analysis. A total of 16 sites show significance; In the following results, I only show five variables (

The open projects page at <http://llvm.org/OpenProjects.html> lists superblock formation as a possible idea for profile-guided transformations. Is anyone working on formation of regions consisting of multiple basic blocks? I don't recall any posts on llvmdev to that effect. It would be quite useful to have a general facility for grouping basic blocks within a function, as that could be

Hi, I want to write a pass that pulls single-entry a single-exit (SESE) region into a function. The idea is similar to extracting a loop in LoopExtractor.cpp. Basically, for each region that meet our criteria, 1. Find all basic blocks in that regions 2. Call llvm::ExtractCodeRegion() to replace that region by a call to the extracted function. 3. Delete the region from the RegionPassManager queue

Hi Paul, I'm rather late to the thread but I added the existing -time-regions option when I was debugging a particularly nasty perf problem in TableGen. I really only use it when we have a perf problem downstream. The main thing I was getting out of it was the ability to annotate periods of time in Xcode Instruments just by adding a NamedRegionTimer to the right function/block (see

Hi, I spend some time to investigate tinc to see how use it, Tinc is really good. I met some wired issue, maybe some guys can do me a favor. In my case, there are 3 regions, and 2 servers in each region, total 6 servers. each of servers will connect the servers in other regions, but no connection to server in same region in configuration. Region us-east Region us-west Region uk tinc.conf like:

Dear list, I'm currently writing a C code to compute the (composite) likelihood - well this is done but not really robust. The C code is wrapped in an R one which call the optimizer routine - optim or nlm. However, the fitting procedure is far from being robust as the parameter space depends on the parameter - I have a covariance matrix that should be a valid one for example. Currently,

I'd like to sample multiple response values from a multivariate regression fit. For example, suppose I have m=2 responses (y1,y2) and a single set of predictor variables (z1,z2). Each response is assumed to follow its own regression model, and the error terms in each model can be correlated (as in example 7.10 of section 7.7 of Johnson/Wichern): > ex7.10 <- + data.frame(y1 =

Preface: this is a statistical question more than an R question. I have a vector of numbers (assume a regular time series). Within this time series, I have a set of regions of interest (all of different lengths) that I want to compare against a "baseline" (which is known). There is some autocorrelation involved. I would like to determine the "significance" of the

Hello, I use the map package in conjunction with the mapdata package, and I want to draw the map of China without interior regions. After reading the doc and searched in this mailing list I've tried map("china",interior=FALSE) and map("china",fill=TRUE) but I allways see the interior regions... If someone can help me... Thanks Etienne

Dear all, I have few training on Hidden Markov Model. But, I intend to solve my problem by HMM. I would like to have your helps/directions to me. Here, I have two variables to define the 8 one-dimension space (coordinate.1, coordinate.2). In this one-dimension space, there are two sequences of values (shared and specific). This means I would like to detect/guess/predict the regions (defined by

Dear All, I am trying to finding overlapping regions in two diff datasets for that I am using IRanges. But I am getting an error in the process of doing the overlap. Advance thanks df3.rl<-RangedData(IRanges(start=df3$V3,width=1), + space=df3$start) Error in .normargSEW0(start, "start") : 'start' must be a numeric vector (or NULL) Kumar [[alternative HTML version

Dear list, following the vignette of the package 'spacemmakeR' I have built a gabriel graph of ten randomly placed points: library(spdep) set.seed(3) xyir<-matrix(runif(20),10,2) nbgab<-graph2nb(gabrielneigh(xyir), sym=TRUE) plot(nbgab,xyir,points=FALSE) points(xyir,pch=20,cex=2,col=c(2,4,4,4,2,2,4,2,4,4)) title(main="Gabriel Graph") Now, I need to determine for any

[ This is ancient code. - dan ] fs/fs_context.c 168 { 169 int ret; 170 171 struct fs_parameter param = { 172 .key = key, 173 .type = fs_value_is_flag, 174 .size = v_size, 175 }; 176 177 if (value) { --> 178 param.string =