similar to: how to draw random numbers from many categorical distributions quickly?

Hi, Can someone tell me how to draw a histogram for the following summary? Richard Minnie Albert Helen Joe Kingston 12 33 56 67 15 66 The summary tell that Richard has occurrence 12, Minnie has occurrence 33, and so on. I would like to view this summary in a histogram. I want the X-axis be the person name (Richard, Minnie, ....), Y-axis be the

I follow Alan Lenarcic's very helpful tutorial on building R package for Windows (XP), which could be found in www.stat.columbia.edu/~gelman/stuff_for_blog/AlanRPackageTutorial.pdf<http://www.stat.columbia.edu/~gelman/stuff_for_blog/AlanRPackageTutorial.pdf>. The package involves a small dll compiled from some very simple C++ codes. The build process seemed to work smoothly, until i

Hi- I am trying to plot a matrix of categorical values across time using color to represent each individual factor. For example: 1982 1983 1984 1985 1986 1987 1 19 19 68 68 19 19 68 2 68 68 19 19 68 68 19 3 26 26 34 34 26 26 26 4 57 34 57 57 34 57 34 5 34 57 26 26 57 34 57 6 28 28 28 28 28 58

How can I compute a power analysis on a multi-factor within-subjects design?

Are there any suitable routines that perform factor analysis of categorical or mixed categorical/continuous data in R? Stuart Dr Stuart Leask MA MB BChir (Cantab) MRCPsych Clinical Lecturer in Psychiatry, University of Nottingham Dept Psychiatry Duncan Macmillan House, Porchester Road, Nottingham. NG3 6AA. UK tel. 00 44 115 969 1300 xtn 40784 fax 0115 955 5352

I am looking to fit one or more latent categorical variables to data that is a mixture of categorical and continuous variables. Factor analysis would work for continuous data, latent class analysis for categorical data. I understand that in a package such as MPlus I could perform a single analysis of both data types. Are there similar routines available in R? Stuart -----Original Message-----

Dear Metafor users, I''d like to test a model with 2 continuous and 2 categorical moderators in a meta regression. One categorical parameter has 2 levels and the other has 4 levels. If I understand correctly, when I include all moderators in the model, Metafor returns main effects of the continuous parameters and contrasts of each level of categorical moderators with the intercept (which

Hello, I wanted to do the multiple regression on categorical predictor data there's variable x1,x2,x3 and x3 is categorical one. so i just used as.factor(x3) and then ran multiple regression is it a good way to do the multiple regression on categorical predictor data? and how can I interpret the estimates? also if using as.factor is a good way, is there any difference with doing dummy coding

I am running the ctree function in R. My data has about 10 variables, many of which are categorical. 2 of the categorical variables have many levels (one has 900 levels, another has 1,000 levels). As an example, 1 of these variables is disease code and is structured as A, B, C, ...., AA, AB, AC.... Each time i've tried to run the ctree function, including these 2

Hi All: I am working on a dataset of a study on healthcare workers. One of the variables I am studying is a categorical variable (variable name:EDUC, indicates educational achievement, with 6 levels: "illiterate", "primary", "junior high school", "high school completed", "undergraduate", and "postgraduate"). I want to collapse the

Hello R folks, I am encountering a problem with the following scatterplot function from the car package: > scatterplot(y~x|z) where y and x are continuous (interval) random variables and z is a categorical variable. When z is a categorical variable coded 1 or 2, I (appropriately) get a scatterplot of y by x, coded by z. Similarly, when z is a categorical variable coded 1, 2, or 3, there is

Dear R-list, I have two variables (numerical and categorical) and would like to have the sum (and maybe some other statistics) of the numerical variable by the categorical one. Can you help me, Thank you, Fabrizio --------------------------------------------------------------- Fabrizio De Amicis IT Department Generali Information Technologies - (GIT) Centro Galleria 2, Via Cantonale CH -

Hello: I am new to R and am going through the growing pains, wonder if you could help alleviate some. I wished to find the estimate for a categorical variable without it being broken into levels but dont know how to. if I use the following example: $>data(iris) $>g=lm(Sepal.Length~.,iris) $>summary(g) I get the estimate of the categorical variable "Species" broken up into

I have two questions: 1. If I want to do a binomial logit, how to handle the categorical response variable? Data for the response variables are not numerical, but text. 2. What if I want to do a multinomial logit, still with categorical response variable? The variable has 5 non-numerical response levels, I have to do it with a multinomial logit. Any input is highly appreciated! Thanks! Ed

Hello All: I know the function loglin() and loglm() from librarary(MASS) performs analysis on nominal categorical data. Are there any libraries, functions or examples available for analysis of ordinal categorical data? I have in mind procedures that can replicate results in Alan Agresti (1984) "Analysis of Ordinal Categorical Data." Thanks, ANDREW

Hi, I am doing multiple regression, and have several X variables that are categorical. I read that I can use dummy or contrast codes for that, but are there any special rules when there're unequal #observations in each groups (4 females vs 7 males in a "gender" variable)? Also, can R generate these codes for me? THanks.

It appears to be legitimate to include multi-level categorical and continuous variables in defining the model for earth (e.g. y ~ cat + cont1 + cont2) but is it also then possible use categoricals in the predict method using the earth result? I tried but it returns an error which is not very informative. Thanks Chris

Hi all, In a data-frame, I have two columns of data that are categorical. How do I form some sort of measure of correlation between these two columns? For numerical data, I just need to regress one to the other, or do some pairs plot. But for categorical data, how do I find and/or visualize correlation between the two columns of data? Thanks!

Dear R users, if all my numerical variables in my datasets having the same units, may I leave them unnormalized, just do cv.glmnet directly(cv.glmnet(data,standardize=FALSE))? i know normally if there is a mixture of numerical and categorical , one has to standardize the numerical part before applying cv.glmnet with standardize=fase, but that's due to the different units in the numerical

What ways are there to plot categorical vs numerical data in R. I have two columns: one with categorical data in 5 categories a,b,c,d,e, and a numerical column with integers between 1 and 100. I have used a boxplot with a,b,c,d,e on the x-axis and an increasing numerical scale on the y-axis. This look fine but im looking for other ways to present the data. What other ways can i do this??? --