similar to: spatial probit/logit for prediction

Hello list, I wrote a simple program to plot data on polar axes, taking advantage of the plotrix package and its function radial.plot. The basic plot works fine, but I am having difficulties with the formatting. There are three problems, but I thought I would attack them one at a time. Here is the first: If my data set contains values with all vector lengths between 0 and 100 (and various

I've done a little snooping around the R Gallery Site (http://addictedtor.free.fr/graphiques/) and the "Statistics with R" site (http://zoonek2.free.fr/UNIX/48_R/all.html), but I can't seem to find what I'm looking for.  Here is the type of plot I would like to draw: (1) 2-D three axis plot where each axis is separated by 120-degrees (would be great if the number of axis

Is there packaged code to convert geographical coordinates (e.g., longitude, latitude, elevation) to Cartesian coordinates in 3-space? I can see how to do this using 1. a spherical-to-Cartesian conversion like pracma::sph2cart(tpr) http://cran.r-project.org/web/packages/pracma/ 2. a geographical-to-spherical conversion. This seems to involve (in roughly increasing order of difficulty or

Hi, I'd like to plot in in polar coordinates a line which is given as a vector of lengths and angles. library("plotrix")

Folks, I am having problems with a plot I want to create to give an impression of changes in an ordinal scale measure (1-5) at three time points (0, 14 and 21 days). I can produce a radial plot of bare vectors but getting this to appear on the base plot is not possible as it always seems to end up below the plot area and even outside the plot window. It seems I have not understood

+ Hello, The parametric equations of an ellipsoid can be written in terms of spherical coordinates. The three spherical coordinates are converted to Cartesian coordinates by X=a cos (α) sin(θ) Y=b sin(α) sin(θ) Z=c cos(θ) for α and θ The parameter α varies from 0 to 2 π and θ varies from 0 to π . Here ( X o , Y o ,Z o ) is the center of the ellipsoid, and θ is the angle

Hola, Estoy buscando una representación gráfica similar a la que da: ternatyplot del paquete vcd : data(Lifeboats) attach(Lifeboats) ternaryplot( Lifeboats[,4:6], pch = ifelse(side=="Port", 1, 19), col = ifelse(side=="Port", "red", "blue"), id = ifelse(men/total > 0.1, as.character(boat), NA), main = "Lifeboats on Titanic" ) Pero

Hi, I'm trying to build a thesaurus that will sensible values for rare words. I suspect the best algorithm to use is k-means although I'm not sure about that -- I would have preferred a k dimensional space with a binary cluster in each dimension so a word can belong to 0..k clusters, but I digress... I can measure the strength of correlation between words fairly easily by counting

> I make a study in health econometrics and have a categorical > dependent variable (take value 1-5). I would like to fit an ordered > probit or ordered logit but i didn't find a command or package who > make that. Does anyone know if it's exists ? R is very fancy. You won't get mundane things like ordered probit off the shelf. (I will be very happy if someone will show

Dear everybody! Are there algorithms for multinominal logit/probit available for R? Is it my fault that I cannot find these in CRAN? Has somebody programmed these? with best wishes Ott Toomet Ott.Toomet at mail.ee -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Hello, I searched everywhere but I didn't find what I want, that is why I as the question here. Threads discussing this issue on this mailing list are already quite old. Does anybody know of a function in R which allows to estimate ordered probit/logit model with random coefficients. The only mixed effect model I found was clmm of the ordinal package but it only provides random intercepts. I

Does anybody know how to do multiple logit/probit analysis with R? Thanks in advance!

Dear all, I am using glm function in order to estimate a logit model i.e. glm(Y ~ data[,2] + data[,3], family = binomial(link = "logit")). I also created a function that estimates logit model and I would like it to compare it with the glm function. So, does anyone know what optimizer or optimization method glm uses in order to derive the result? Thank you Dimitris -- View this

Dear R Users, I'm currently working on simultaneous multinomial models and wonder whether R has any package that can estimate such models. I've got a survey dataset that contains 2,000 individuals and one of the survey questions asked the respondents to chose two main reasons to work out of eight options (e.g., pay, pepople, to use abilities, etc.) . Now I'd like to model the

Dear List I am trying to fit a simutaneous equation logit model. i.e., the response variables of the structured equations are binomial, I am not sure if systemfit can do this job. A google search doesn't yield too much helpful information. Your knowledge on any other packages or codes are appreciated. Thanks will

Dear R users/experts, I've heard it's possible to estimate the above kinds of models in R. However, after (an admittedly brief) survey of the packages, I haven't found an obvious candidate. Can you offer any help? (Yes I'm a newby.) Yours sincerely Christoph Hanck Studentische Hilkskraft Lehrstuhl f?r Empirische Wirtschaftsforschung, Prof. Dr. Wilfling

Hello, I'm working on the multiple categorical data (5-points scale) using linear mixed effect model and wondering if anyone knows about or works on the linear mixed effect model with ordered logit or probit link. I found that the "lmer" function in R is very flexible and supports various models, but not ordered logit/probit models. I may conduct my analysis by turning my DVs

Hi, how can I reverse the radius axis of plotrix's polar.plot function? Perhaps this sounds strange, but I use the radians for angles as well: In the center is zenith and the corresponding angle is 90?, not 0. See an example plot at http://www.mysundial.ca/tsp/images/sun_chart_50_solar_polar.jpg dirs<-c("S","E","N","W")

Hello everyone I am trying to fit an ordered probit/logit model for bank rating prediction. Besides polr() in MASS package which is not written especially for this as far as I know, do you know how else I can do this? I already found the modified polr () version on the Valentin STANESCU Enrst and Young Tel. 402 4000 ---------------------------------------------------------- The information

I have the following data from an image analysis program, in which the x and y co-ordinates are locations of the centroids of shapes on a 2 dimensional plot. The Y co-ordinates were positive, but I changed them to negative as the resulting scatterplot was upside down (the image analysis program reads from the top of the image to the bottom, so it seems) I now need these as point pattern data, as I