similar to: How to z-standardize for subgroups?

Hi there, I am not getting anywhere near a solution, so here is my question. I have searched the archives and didn't find a solution, but maybe my search didn't use the right words. So here it is: I have a dataframe with the following structure factor1 factor2 value In the (rather large) dataset I have to work on, there are some factor combinations missing, e.g. factor1 <-

Hi there, we are looking for a research assistant for a project on analysing timeseries in the field of educational research. We have timeseries of the subjective perception (I understand, I feel good, I am interested etc.) of 109 students (6 different courses, 26 to 72 hours of classroom teaching, 208 to 332 points of measurement). We want to do exemplary analysis of the interaction

Dear R-users, I want to multiple impute missing scores, but only for a few subgroups in my data (variable 'subgroups': only impute for subgroups 2 and 3). Does anyone knows how to do this in MICE? This is my script for the multiple imputation: imp <- mice(data, m=20, predictorMatrix=pred, post=post, method=c("", "", "", "",

Hello, I'm using the rmeta package to perform a meta analysis using summary statistics rather than raw data, and would like to analyze the effects in three different subgroups of my data. Furthermore, I'd like to plot this on one forest plot, with corresponding summary weighted averages of the effects displayed beneath each subgroup. I am able to generate the subgroup analyses by simply

# Dear all, # how to replace values in x by means in subgroups created in ... # replace only these values where y=0 in continous sequence # replace by mean calculated locally for each subgroup created by # continous sequence of 0,0,0 in parallel y vector, i.e. # where there is continous sequence of 0 in data frame vector y # but we do not replace values in x[i], if y[i]!=0 # we do not want

I'm hoping there is a simple answer to this - it seems that there should be, but I can't figure it out. I have a matrix/data frame with three variables of interest - V1, V2, V3. One, V1, is a factor with x levels (x may be a large number); I want to calculate the correlation between the other two (i.e. cor(V2,V3)) for each level, and store it as a vector of length x. I should think this

Hi All, Is there a feasibility for creating subgroups on the Puppet Dashboard? Basically the requirement is that we have a huge number of VMs running designated services. Some of VMs having the same service may yet have different properties configured on them. We are exploring the feasibility of having these properties managed through puppet. Currently all these VMs are put into a single

Hello, I have a data frame with the following columns: "date","name","value" the name is the same for each date I would like to get TukeyHSD p-value for the differences of "value" between "name"s in each "date" separately I tried different ANOVA (aov()) but can only get either tukey by "name" or by "data" but not

Hello, and sorry for not providing an example. I run a regular linear regression (using lm) and use weights with it (weights = ...). I use "QuantPsych" package, its function lm.beta to extract standardized regression weights from my lm regression object. When I don't use weights, everything is fine. But when I do use weights, I get an error that refers to lm.beta code: "In b *

Hi there, I am trying to install RApache on my Mac (see http://worldofrcraft.blogspot.com/2010/08/installing-rapache-on-mac-os-x-snow.html). I needed to build R with --enable-R-shlib option, so very naively did the following ./configure --enable-R-shlib make sudo make install RApache runs like a charm now, but when I want to start my R.app, it does not start. Only my R64.app is starting, but

Hi, I have data that looks like this: ASA1 ASA2 C1_C2 C M 9.0225 S S 2.4315 M C 3.4894 M S 4.5282 C M 1.3183 C S 1.3735 S C 1.0488 S M 7.948 M C 4.5827 I need to plot Boxplots for a given ASA1 (either C,S, or M) with respect to C1_C2. However, instead of one boxplot I want to plot

Dear list, I have a data frame with one column (group) and want to add a second column (sub) with a serial number that says to which subgroup a cell belongs. A subgroup contains the consecutive rows of the same group. The number of a subgroup is based on its position in the table. The first subgroup of A's and B's should have nr A1 and B1, the second nr A2 and B2, etc.. I hope the

Dear Members of the R-Help, While using a R function - 'aggregate' that you developed, I become to have a question. In that function, > aggregate(x, by, FUN, ..., simplify = TRUE) I was wondering about what type of FUN I should write if I want to get "the most frequent value of the subgroup" as a summary statistics of the subgroups. I will appreciate if I can get

Dear R-ers, I have a large data frame (several thousands of rows and about 2.5 thousand columns). One variable ("group") is a grouping variable with over 30 levels. And I have a lot of NAs. For each variable, I need to divide each value by variable mean - by subgroup. I have the code but it's way too slow - takes me about 1.5 hours. Below is a data example and my code that is too

Hi all! Here's the problem we have since patching Monday night. Tuesday morning Samba wasn't running, but started fine, and everything seemed to be working. Were currently running samba3.0.24-2.23 and I believe before the patch we were running samba3.0.22-13.30. We have some samba shares where we have subgroups that only a select group of people of the parent group are allowed to

Dear all, I'm trying to solve the following problem, and hoping to get some advise here from the group I have a dataframe in which the same sample was measured more than once on the same day. I would reorganize the dataframe to get a single value (mean /median) for one day Patient Day Sample Test A 1 A 23 A 1 A 36 A 5 B 44 A 5 B 23 B 2 C 10 B 2 C 5 mean Patient Day Sample Test.mean A

I have Samba as a PDC w/ openLDAP backend. Everything works great. I have a question on how sub-groups work. For instance, my "Domain Users" group will have a SID of S-1-5-21-2213288279-2770996180-1086272762-513 What if I create a group under that one. Should it be "...-513-something" I am wondering how samba will know it is a sub group without a different ID. I am using

Hi, I would like to create a new variable that would be the rank of a continuous variable within each level of a grouping variable. Say the first level of the grouping variable has 5 observations, I'd like them ranked from one to five and a new variable would hold the rank value (one to five). So forth for each level of the grouping variable. I'm quite new with R and cannot

Hi all, Using xyplot I want to print to Y variables (y1, y2) versus X, conditional on the group. How can I obtain a line (type="l") for one relationship (ie. y1 ~ x) and points (type="p") for the other (y2 ~ x) ? library(lattice) # create some sample data df<-data.frame(group=as.factor(c(rep("a",4), rep("b",4))), # grouping variable for conditional

All, I have a question RE plotting the prediction lines of a random effects model via augPred. I'll illustrate via the Pixel dataset within the nlme package: library(nlme) attach(Pixel) fm1Pixel = lme(pixel ~ day + I(day^2), data = Pixel, random = list(Dog = ~ 1)) plot(augPred(fm1Pixel)) ### 10 fitted lines since there are 10 dogs fm2Pixel = update(fm1Pixel, . ~ . + Side)