similar to: kruskalmc

Dear colleagues can somebody help me by showing how we can compute m-estimators in R? thanks Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006 1516 Nicosia Cyprus Tel.: +357-22-713178 Fax: +357-22-590539 Honorary Research Fellow Department of Education The University of Manchester

hi all, is there a cd-rom image with a full R pre-installation which I can give to my students so that if they want to run R on their computer, they will be able to run it from the cd-rom without having to install it on their computer. That way, they can have a 'protable' R package installation in their bags, and they can use it on any machine. Is this possible? Dr. Iasonas Lamprianou

Dear all I have a factor variable which holds values like "Engineer", "Doctor", "Teacher" etc. I would like to collapse those categories so that Teachers and Sociologists form one category named "Teach & Soc" etc. However, I do not know how I can do it. Recoding does not seem to work. Thank you Dr. Iasonas Lamprianou Assistant Professor

Dear colleagues, i am carrying out an ordinal regression model. I try it on SPSS but I "flirt" with R as well. I have a few questions. 1. What is the most reliable/tested/trusted package for ordinal regression in the R world? 2. Also, I have a statistical question. What is the danger of having to many 'empty cells' in ordinal regression? How many empty cells are too many? Do

Dear all, I am looking for ways to compute standardized logistic regression coefficients. I found papers describing at least 6 different ways to standardize logistic regression coefficients. I also found a very old (Thu May 12 21:50:36 CEST 2005) suggestion by Frank E Harrell (one of the colleagues who frequently contribute on this list) saying... Design doesn't implement those because they

Dear all, i have spent a lot of time trying to solve this problem, but I am sure that there must be a simple solution. So, as a last resort, I am coming back to you again. I have a dataset with some (almost random) values in many variables. Lets say that the dataset represents the scores of students to test questions. What I need to do is to sum the scores for each student. However, wherever

Hi all, does anyone have any practical examples of how this command can be used in prettyR? add.value.labels(x,value.labels) I mean, can we have the SPSS style of using numbers and/or labels if we want to? Thank you for your time Jason Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006

Dear all I have found that the two "equivalent" commands do not produce the same results. 1. (I wrote this command by hand, this is what I would do usually) >summary(aov(eduyrs ~ cntry * edf, data=ESS1)) Df Sum Sq Mean Sq F value Pr(>F) cntry 1 257 256.65 21.2251 4.243e-06 *** edf 4 11010 2752.42 227.6296 <

Dear all, I am doing a social network analysis using ergm. I import a rectangular matrix of data and then I build a network using the following command: ng <-network(mat,directed=FALSE) I then attach vertex names using commands like this: set.vertex.attribute(ng,"SchoolType",mSchType) where SchoolType can take six different/unique values. Then, I run ergm models successfully using

Dear friends, two years ago (as I found on the web) Paul sent the following message but I was not able to find if he got an answer. Today I have the same question and it would be great if I could find out that this test has been implemented (somehow) in R. Please do not confuse it with the Brown-Forsythe test of equality of variances. Thank you: I've been searching around for a function for

Dear all (a)in SPSS PASW there is a 'split file' command is repeats the same analysis for all sub-groups. Is there a split file equivalent in R? (b) Is there a package in R that will compute immediately statistics like Hosmer and Lemeshow Test, pseudo-R squares etc without my intervention? I am mostly interested to find easy solutions for my students. They are not

Dear all, I am running a logistic regression and this is the output: glm(formula = educationUniv ~ brncntr, family = binomial) Deviance Residuals: Min 1Q Median 3Q Max # ???? ????? ?? ???????? -0.8825 -0.7684 -0.7684 1.5044 1.6516 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.06869 0.01155 -92.487 <2e-16 *** brncntrNo

Dear colleagues, I have another question, which, I think cannot be answered easily by the manual. What is the effect of including both nodefactor("Gender") and nodematch("Gender",diff=TRUE)) for the same variable in the model? Judging from the output (please see below), you cant have estimates for both for boys and girls forthe nodematch command, but I thought that the

Dear all, I run a kruskal wallis test and found significant results. Then, I conducted all pairwise comparisons and found no significant results. Could anyone please give me a hint as to why this happens or redirect me towards a specific web page where I can find more info? (I used alpha=5% and made no bonferroni or other correction for the pairwise comparisons) Thank you   Dr. Iasonas

Hi there, I am doing multiple comparisons for data that is not normally distributed. For this purpose I tried both functions kruskal{agricolae} and kruskalmc{pgirmess}. It confuses me that these functions do not yield the same results although they are doing the same thing, don't they? Can anyone tell my why this happens and which function I can trust? kruskalmc() tells me that there are no

Dear colleagues, I teach statistics using SPSS. I want to use R instead. I hit on one problem and I need some quick advice. When I want to work with ordinal variables, in SPSS I can compute the median or create a barchart or compute a spearman correlation with no problems. In R, if I "read" the ordinal variable as numeric, then I cannot do a barplot because I miss the category names. If

Dear friends, does anyone know how I can run a zero truncated poisson regression using R (or even SPSS)?   Dr. Iasonas Lamprianou Department of Social and Political Sciences University of Cyprus [[alternative HTML version deleted]]

Dear list! I work with multiple Kruskal-Wallis test (kruskalmc, package pgirmess), which evaluates differences in medians among groups (5 groups). A result of a test is significant differences among some groups, while median values are the same for 4 groups (using tapply). Why? p.s.: number of samples in groups vary from 50 to 4900. Thanks to all, OV .

Dear all,  I am not sure if this is the right place to ask this question, but I will have a go. Please redirect me to a different place if this is not the right one! I have a (relatively) simple problem which causes me some frustration because I cannot find the solution. I measure ten variables (var1 to var10) every day, they are all continuous (linear) and most of them are correlated. Some days,

Dear colleagues, I would like to run a cluster analysis on a number of variables. They are Likert Scale (0 to 10), but they also have a "Don't know' option at the end of the scale. Apparently, with the 'Don't Know' option in place, they cannot be considered to be linear or ordinal. How can these variables be analysed using R? One option would be to use poLC and treat