search for: catagor

Would anybody be able to advise on which package would offer the best approach for producing a model able to predict the probability of species occupation based upon a range of variables, some of them catagorical (eg. ten soil types where the numbers assigned are not related to any qualitative/quantitative continuum or vegetation type) and others continuous such as field size or vegetation height. I have tried using the TREE package but the models produced seem too simplistic and discard most variables...

I've got a numeric vector with values ranging from 1 to 5, I would like to catagorize these values like this: 1 becomes catagory 1 3 becomes catagory 3 And everything else in catagory 2. The simple function I wrote beneath works for single numeric data, but for some reason I am unable to feed it vectors. Any help would be appreciated, as I'm fairly new to R. -- View this...

Hi, I have two catagorical vectors like this; x = c(1, 2, 4, 2, 1) y = c(2, 4, 2 ,4, 1) I want to set up a barplot with the catagories 1-4 horizontally and number of occurances vertically for each vector x,y. I've tried boxplot(table(x,y), beside=T) and boxplot(c(x,y), beside=T) among others, but can't ge...

...bookings, method = "class") n=1741 (1 observation deleted due to missingness) CP nsplit rel error 1 0 0 1 Error in yval[, 1] : incorrect number of dimensions note: > dim(bookings) [1] 1742 163 I have run rpart on past projects without any problems. I have used a catagorical version of the variable totalRev that was partitioned into four levels (and coded as a factor). I tried making a tree with the tree command (in the 'tree' package) and was able to construct a tree without any errors. However, I would much rather use rpart. Does anyone have any ideas th...

...mats in DBMS, so they are correctly included in the data.frame that DBMS clients like RMySQL create for use in R. If I had only a few variables and values this will not be a problem; I can use meaningful variable names or create labels directly in R. But with 1600 variables, many with about 10 catagorical values, this approach does not look promising. Is there a document somewhere that addresses this issue? What would be a good way to solve this problem? Anupam. ********************************************************* Prediction is very difficult, especially about the future....

...e foundation QoSS feature). I''ve searched the forum and inspected the documentation looking for a means to do this, and haven''t found anything, so pardon the post if this is redundant/superfluous. I would imagine this would require something along the lines of: a) the ability to catagorize devices in a zpool with thier "class of storage", perhaps a numeric rating or otherwise, with the idea that the fastest disks get a "1" and the slowest get a "9" (or whatever the largest number of supported tiers would be) b) leveraging the copy-on-write nature of Z...

...licated/nuanced versions of the problem - my question is much more simple. I have data with multiple, nested fixed effects (as I understand it, fixed effects are specified by the experimental design while random effects are measured) and one continuous response variable. All the fixed effects are catagorical. e.g. fix1 fix2 fix3 response 0 0 0 16.260 0 0 0 16.128 0 0 1 22.969 0 0 1 23.245 0 1 0 14.687 0 1 0 14.635 0 1 1 22.954 0 1 1 23.345 1 0 0 19.866 1 0 0 19.589 1 0 1 22.748 1 0 1...

Hi, I have just started with samba.Can somebody guide me to any introductory bugs can I can fix? Thanks, Navya

...made some progress with using the coxph function. However, there doesn't seem to be a simple way to get adjusted survival figures, and I'm still a bit unsure whether I'm using the function correctly. I've found plenty of examples of how to plot survival curves for a single catagorical variable, like tumour stage. However, its a bit less obvious how to properly combine multiple variables (like stage and grade) - examples I've found aren't very helpful. For instance, can someone explain what these two function calls are doing differently? cox.model1 <- cox...

...through the R-help list didn't have all the information that was apparently there: On Fri, Jan 13, 2012 at 11:32 AM, Berend Hasselman <bhh at xs4all.nl> wrote: > > WoutH wrote >> >> I've got a numeric vector with values ranging from 1 to 5, I would like to >> catagorize these values like this: >> >> 1 becomes catagory 1 >> 3 becomes catagory 3 >> And everything else in catagory 2. The simple function I wrote beneath >> works for single numeric data, but for some reason I am unable to feed it >> vectors. Any help would be appr...

Hello everyone, I am using *mlogit* to analyse my choice experiment data. I have *3 alternatives* for each individual and for each individual I have *9 questions*. I have a response from *516 individuals*. So it is a panel of 9*516 observations. I have arranged the data in long format (it contains 100 columns indicating different variables and identifiers). In mlogit I tried the following

Dear R users, I'm new to both R and to this list and would like to get advice on how to build generalized additive models in R. Based on the description of gam, which I found on the R website, I specified the following model: model1<-gam(ST~s(MOWST1),family=binomial,data=strikes.S), in which ST is my binary response variable and MOWST1 is a categorical independent variable. I get the

Hi I would like to analyse an ordinal categorical variable. I know how I can analyse a nominal categorical variable (with multinom or if there are only two levels with glm). Does somebody know which command I need in R to analyse an ordinal categorical variable? I want to describe the variable y with the variables x1,x2,x3 and x4. So my model looks like: y ~ x1+x2+x3+x4. y: ordinal factor

I tried to post this a few times last week and it seems to have got stuck somehow so I'm trying from a different email in the hope that works. If somehow this has appeared on the list 20 tiems and I never saw any of them I apologize ;-) I'm basically an R-newbie. But I am VERY computer literate. But this has me stumped... All the examples for using the rmeta package to create a

>Paul E Wrote [snip] >Windows 2000 (although it's the same for all of them) doesn't read in >any mime-type to correctly identify a file, it just uses the extension. [snip] What if, at least for Windows, someone wrote a simple application which when associated with .ogg files and an .ogg file was opened simply read enough of the ogg stream to identify the type of content and then