similar to: ecological meaning of randomForest vegetation classification?

I have a data frame in wide format. There are six variables that represent two factors in long format 3x2, Valence and Temperature: > head(dpts) File Subj Time Group PainNeg.hot PainNeg.warm SociNeg.hot SociNeg.warm Positiv.hot Positiv.warm Errors 1 WB101_1_1_dp.txt 101 1 MNP 30.700000 13.75000 16.319048 35.166667 30.18333 14.383333 1 2

Hi all, Does anybody have a hint on what may be going wrong in this R code? I mimic the sample code from the MNP developers but I seem unable to get the choice specific variables right. Thanks, Joan Serra > rm(list=ls()) > library(foreign) > small<-read.spss("small.sav") Warning message: small.sav: Unrecognized record type 7, subtype 13 encountered in system file. >

Hi All, Can the MNP package available in R be used to analyze panel data as well? *i.e., *if there are 3 observed discrete choices for three time periods for the same individual , can i estimate a panel multinomial probit model which allows correlated errors across time periods and individual heterogeneity (random coefficients) using the MNP package? In the case that it doesn't work, is

Hello, I want to start testing using the MNP probit function in stead of the lrm function in my current experiment. I have one dependant label and two independent varaibles. The lrm is simple model <- lrm(label ~ val1 + val2) I tried the same thing with the mnp function and got an error that I don't understand model <- mnp(label ~ val1 + val2) I get back an immediate error that

Hi, I recently found the MNP package. Out of curiosity, I tried to reproduce results from Greene (Econometric Analysis, fourth edition) on page 874. The signs of the estimates are all opposite those of Greene's table. Might anyone be able to tell me what I am doing wrong? I have attached the function call, the coefficients, and a few rows of the data. The dataset has 210 observations.

Hello All, I'm trying to run a multinomial probit on a dataset with 28 data points and five levels (0,1,2,3,4) in the latent choice involving response variable. I downloaded the latest mnp package to run the regression. It starts the calculation and then crashes the rpogram. I wish I could give the error message but it literally shuts down R without a warning. I'm using the R

I use mnp to run a multinominal probit regression model, but the summary doesn't contain the model statistics, such as the log-likelihood and degree of freedom, for the assessment of the goodness-of-fit of the fitted model. Is there any way that I can generate these statistics for the fitted model in R? Many thanks in advance! SC

On Wed, 2017-12-13 at 10:34 -0500, Gene Cumm wrote: > CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe. > > > On Wed, Dec 13, 2017 at 7:03 AM, Joakim Tjernlund > <Joakim.Tjernlund at infinera.com> wrote: > > On Mon, 2017-12-11 at 08:59 +0100, Joakim

Dear all, I'm a new user of R and MNP. Would anybody advise me what I have done wrong to the input or data. When I add the R7, it said that there is an error "SWP:singular matrix". I can add up to R6 only. Copy of the R console is attached for your reference. Thanks. Andy -------------- next part -------------- A non-text attachment was scrubbed... Name: mywork.pdf Type:

*Dear **Madam**/**Sir,* *What would happen if we irrigate the degraded land using the desalinated saline water in Minqin Oasis, Gansu Province, China? Can we prevent the disappearing of Minqin Qasis?* * * *Background:* *1. **The Minqin Oasis is surrounded by two deserts, Badain Jaran Desert and Tengger Desert. * *2. **Water is the root of ecological

Hi there, I am an environmental studies masters student trying to get my thesis out the door. I am also newbie at trees in general, but I like what I see in the literature about the random forest algorithm. I think I get the general gist of things, but even after reading stuff I?m unclear about how I could be getting the results I?m seeing. I obviously am missing something about how the split

Dear all, I am trying to validate a model by comparing simulated output values against observed values. I have produced a simple X-y scatter plot with a 1:1 line, so that the closer the points fall to this line, the better the 'fit' between the modelled data and the observation data. I am now attempting to quantify the strength of this fit by using a statistical test in R. I am no

Hello, I am trying to estimate a choice model with varying choice set for each individual. I would like to fit different kinds of model (logit ,nested logit, probit...). So far I have found that package *mnp* allows me to estimate a probit model with varying choice set. But for estimation of a logit model, I have only found function *multinom* of package *nnet* which does not seem to allow for

On Fri, Aug 14, 2015 at 11:42 AM, Patrick Masotta via Syslinux <syslinux at zytor.com> wrote: >>>>> > website (meaning, HP could test their firmware to be compatible with > Syslinux and with non-Windows OSes). If the HP firmware could be made > (more) compliant with UEFI specs, or if it could be improved and still > be compliant with UEFI specs, wouldn't

A colleague has just passed me this interesting address: http://cc.oulu.fi/~jarioksa/softhelp/vegan.html "Vegan: R functions for vegetation ecologists" "Vegan package is intended to help vegetation ecologists and other community ecologists to use R. It is not a completely self-contained package, but it complements other R functions. .../... At this first stage, vegan implements

Hi R listers, I am trying to group distances of nests to the vegetation into classes that are define by (0-5m, 6-10m, 11-15m, 16-20m, 21-25m, 26-30m, 31-35m, 36-40m, 41-45m, 46-50m, 51-55m, 56-60m). Each row is a nest and all the distances to the vegetation is in a column. In plyr, I have tried - below script but I think I am going about this the wrong way and am not successful. #Veg index

The Helmholtz Alliance of Earth System Dynamics aims at the development of innovative remote sensing products based on the newest satellite missions. The focus here is on quantifying dynamic processes within the bio-, hydro-, geo- and cryosphere to monitor and understand environmental change on a global scale. The Alliance will be the nucleus within an innovative network of more than 60

Dear R-Help, I'm hoping to find a Multinomial Nested Logit package in R. It would be great to find something analogous to "PROC MDC" in SAS: > The MDC (Multinomial Discrete Choice) procedure analyzes models > where the > choice set consists of multiple alternatives. This procedure > supports conditional logit, > mixed logit, heteroscedastic extreme value,

On 07/10/2014 06:43 PM, Peter De Schrijver wrote: > On Thu, Jul 10, 2014 at 09:34:34AM +0200, Alexandre Courbot wrote: >> This series adds support for reclocking on GK20A. The first two patches touch >> the clock subsystem to allow GK20A to operate, by making the presence of the >> thermal and voltage devices optional, and allowing pstates to be provided >> directly

Hello, I am looking for CRAN packages that don't teach bad habits. Can I have suggestions? I don't mean the recommended packages that come with R, I mean the contributed ones. I've been sampling a lot of examples and am surprised that many ignore seemingly agreed-upon principles of R coding. In r-devel, almost everyone seems to support the "functional programming" theme