similar to: linear-by-linear association model in R?

Dear all, I am facing some problem with how to fit a "Baseline category Logit model" with R. Basically I am considering famous "Alligator" data as discussed by Agresti. This data can also be found here: https://onlinecourses.science.psu.edu/stat504/node/174 (there is also an accompanying R file, however the underlying R code could not load the data properly!!!) Below are

Hi Hemant, Here is an example that might answer your questions. Please don't run previous code as it might not work. I define the break values as arguments to the function (rbreaks,fbreaks,mbreaks) If you want the breaks to work, make sure that they cover the range of the input values, otherwise you get NAs. # expects a three (or more) column data frame where # column 1 is customer ID,

I seriously doubt that you are running the code I sent. What you have probably done is to run your data, which has a different date format, without changing the breaks or the date format arguments. As you haven't provided any example that shows what you are doing, I can't guess what the problem is. Jim On Mon, Oct 9, 2017 at 9:40 PM, Hemant Sain <hemantsain55 at gmail.com> wrote:

I'm getting all the rows as NA in Cscore and almost most of the observation in R and F and M are also NA. what can be the reason for this. also suggest me the appropriate solution. On 9 October 2017 at 15:51, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Hemant, > Here is an example that might answer your questions. Please don't run > previous code as it might not work.

Hello Jim, i have converted all my variable data type according to your attached example including date, and my dataset looks like this. ID purchase date 1234 10.2 2017-02-18 3453 18.9 2017-03-22 7689 8 2017-03-24 but when I'm passing the data

I'm trying to perform an RFM analysis on the attached dataset, I'm able to get the results using the auto_rfm function but i want to define my own breaks for RFM. as follow r <-c(30,60,90) f <-c(2,5,8) m <-c(10,20,30) but when i tried to define my own breaks i got the identical result for RFM i.e 111 for every ID. please help me with this with working R script so that i can get

Full_Name: Heather Turner Version: 2.2.0 OS: Windows XP Submission from: (NULL) (137.205.240.44) Standardized residuals as calculated by rstandard.lm, rstandard.glm and plot.lm are Inf/NaN rather than zero when the un-standardized residuals are zero. This causes plot.lm to break when calculating 'ylim' for any of the plots of standardized residuals. Example:

On 2024-09-07 4:52 p.m., Jeff Newmiller via R-help wrote: > When you specify LE in the encoding type, you are logically telling the decoder that you know the two-byte pairs are in little-endian order... which could override whatever the byte-order-mark was indicating. If the BOM indicated big-endian then the file decoding would break. If there is a BOM, don't override it unless you have to

Hi, I am trying to the data from https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt without any success. Below is the error I am getting: > read.delim('https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt') Error in make.names(col.names, unique = TRUE) : invalid multibyte string at '<ff><fe>t' In

When you specify LE in the encoding type, you are logically telling the decoder that you know the two-byte pairs are in little-endian order... which could override whatever the byte-order-mark was indicating. If the BOM indicated big-endian then the file decoding would break. If there is a BOM, don't override it unless you have to (e.g. for a wrong BOM)... leave off the LE unless you really

That looks like a UTF-16LE byte order mark. Simply open the connection with the proper encoding: read.delim( 'https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt', fileEncoding = "UTF-16LE" ) On Sat, Sep 7, 2024 at 3:57?PM Christofer Bogaso <bogaso.christofer at gmail.com> wrote: > > Hi, > > I am trying to the data from >

I tried it on R 4.4.1 on Linux Mint 21.3 just before I posted it, and I just tried it on R 3.4.2 on Ubuntu 16.04 and R 4.3.2 on Windows 11 just now and it works on all of them. I don't have a big-endian machine to test on, but the Unicode spec says to honor the BOM and if there isn't one to assume that it is big-endian data. But in this case there is a BOM so your machine has a buggy

On Sun, 08 Sep 2024, Christofer Bogaso writes: > Hi, > > I am trying to the data from > https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt > without any success. Below is the error I am getting: > >> read.delim('https://online.stat.psu.edu/onlinecourses/sites/stat501/files/ch15/employee.txt') > > Error in make.names(col.names,

On 2024-09-07 7:37 p.m., Jeff Newmiller wrote: > I tried it on R 4.4.1 on Linux Mint 21.3 just before I posted it, and I just tried it on R 3.4.2 on Ubuntu 16.04 and R 4.3.2 on Windows 11 just now and it works on all of them. > > I don't have a big-endian machine to test on, but the Unicode spec says to honor the BOM and if there isn't one to assume that it is big-endian data.

Dear R-gurus: I have a question about lmer. Basically, I have a dataset, in which each observation records number of trials (N) and number of events (Y) given a covariate combination(X) and group id (grp_id). So, my dataset is in tabular form. (in case my explanation of tabular form is unclear, please see the link:

Regarding unusual combinations of factors in categorical data. Are there any R packages that can be used to identify the outliers i.e. unusual combinations in categorical datasets ? Thanks. ================================================================================ Notice of Confidentiality This transmission contains information that may be confidential and that may also be

In their paper, "Lexical Scope and Statistical Computing", the authors ( Gentleman and Ihaka ) go to great length explaining why R's use of lexical scoping creates advantages when doing statistical computations. If anyone has or is familiar with this paper, could they provide the main program code for how the "newton" function would be called in their example on page 500

On Thu, Dec 15, 2011 at 08:43:01PM -0800, Eli Friedman wrote: > clang's cross-compilation support isn't really mature; you might be > able to get away with specifying "-ccc-host-triple sparc-sun-solaris > -nostdinc -I /path/to/sparc/headers/". Please read that as "clang's cross-compilation support is not magical". It's not a question of maturity that

In SAS, for a two-way (or 3-way, stratified) table, the CMH option in SAS PROC FREQ gives 3 tests that take ordinality of the factors into account, for both variables, just the column variable or neither. Is there an equivalent in R? The mantelhaen.test in stats gives something quite different (a test of conditional independence for *nominal* factors in a 3-way table). e.g. I'd like to

Thanks! On Thu, Dec 15, 2011 at 10:39 PM, Joerg Sonnenberger <joerg at britannica.bec.de> wrote: > On Thu, Dec 15, 2011 at 08:43:01PM -0800, Eli Friedman wrote: >> clang's cross-compilation support isn't really mature; you might be >> able to get away with specifying "-ccc-host-triple sparc-sun-solaris >> -nostdinc -I /path/to/sparc/headers/". >