similar to: calculating odds ratio in logistic regression with interaction terms

Dear All, I am learning the ropes about logistic regression in R. I found some interesting examples http://bit.ly/Vq4GgX http://bit.ly/W9fUTg http://bit.ly/UfK73e but I am a bit lost. I have several questions. 1) For instance, what is the difference between glm.out = glm(response ~ poverty + gender, family=binomial(logit), data=mydata) and glm.out = glm(response ~ poverty * gender,

Dear R-helpers I have a question related to logistic GAM models. Consider the following example: # Load package library(mgcv) # Simulation of dataset n <- 1000 set.seed(0) age <- rnorm(n, 50, 10) blood.pressure <- rnorm(n, 120, 15) cholesterol <- rnorm(n, 200, 25) sex <- factor(sample(c('female','male'), n,TRUE)) L <-

Hi all, I am noticing a significant degradation in execution performance in loops with just one backedge than loops with two backedges. Unifying the backedges into one will also cause the slowdown. To replicate this problem, I used the C code in https://gist.github.com/sklam/11f11a410258ca191e6f263262a4ea65 and checked against clang-3.8 and clang-4.0 nightly. Depending on where I put the

Hi all. A simple question. Is there a function to compute the Odds Ratio and its confidence intervall, from a logistic model (glm(.......,family=binomial....). I've written my own, but certainly someone did a better job. Thank you in advance, Stefano *********************************************** Stefano Calza Istituto di Statistica Medica e Biometria Universit? degli Studi di Milano Via

Hi, I am new to R. Anyone can explain the following from R-help or anyone can direct me how to calculate odds ratio from logistic model in R. Thank you very much. Guoya Stefano <stecalza at tiscalinet.it <https://stat.ethz.ch/mailman/listinfo/r-help> > writes: >Hi all. > >A simple question. >Is there a function to compute the Odds Ratio and its confidence intervall,

Hi, I want to do a global likelihood ratio test for the proportional odds logistic regression model and am unsure how to go about it. I am using the polr() function in library(MASS). 1. Is the p-value from the likelihood ratio test obtained by anova(fit1,fit2), where fit1 is the polr model with only the intercept and fit2 is the full polr model (refer to example below)? So in the case of the

On 20 Aug 2008, at 13:47, Amin Shah wrote: > > Frederick Cheung wrote: >> On 20 Aug 2008, at 13:41, Amin Shah wrote: >> >>> update, boot.rb replace the "requiregem" etc. But still don''t get at >>> any >>> success. >>> >> require_gem is just gem now. >> >> Fred > > Thanks for your reply, > So at

Dear all, Is there any method in R to find all possible nonnegative integer solutions to the linear equation with unit coefficients as follow: X1+X2+...+Xk=N Thank you, Amin Zollanvari

Hi R users, I have a question about adding uncertainty bars to stacked bar plots. DF: year A B C Amin Amax Bmin Bmax Cmin Cmax 2009 40 45 15 30 61 23 56 14 17 2010 36 41 23 26 54 22 51 22 24 I use the code below: DF.refm = melt(subset(DF[,c(1:4)]),id.vars='year',variable_name='Legend') fig1 =

Dear Readers: I have two issues in nonparametric statistical analysis that i need help: First, does R have a package that can implement the multimodality test, e.g., the Silverman test, DIP test, MAP test or Runt test. I have seen an earlier thread (sometime in 2003) where someone was trying to write a code for the Silverman test of multimodality. Is there any other tests that can enable me to

On 18/06/17 12:10, lily li wrote: > Hi R users, > > I have a question about adding uncertainty bars to stacked bar plots. > > DF: > year A B C Amin Amax Bmin Bmax Cmin Cmax > 2009 40 45 15 30 61 23 56 14 17 > 2010 36 41 23 26 54 22 51 22 24 > > I use the code below: > >

Hi , I am looking to making a panel of pie charts fo some of my dritribution data . I was wondering if there is a way in any R package to write a small script to do so. Thanks, Amin [[alternative HTML version deleted]]

Dear friends, I have a csv file entitled ven.csv located in C:\\, this file contains only two columns:"ve" and "su" I have written the following lines: data=read.csv("c:\\ven.csv",header=TRUE,sep=";"); lm(ve~ su) I have obtained the following message: Error in eval(expr, envir, enclos) : object 've' does not exist. What's the problem? thank

Hi list, I am trying to calculate the sensitivity, specificity, and odds ratio(and confidence interval). Say, my data looks like this 42.53, 37.56, 40.51, 32.67, 38.19, 81.74, 41.55, 68.94, 59, 63, 54.13, 48.85, 50.46, 51.78 Is there any packages in R that does this? Espeically the odds ratio confidence interval. Mike [[alternative HTML version deleted]]

I am trying to do logistic regression with a categorical predictor variable with the glm() function, family=binomial. Using glm() I would like to be able to calculate the confidence intervals of all three possible odds ratios for a factor (the factor has three categories). Three categories imply two columns of 0's and 1's in the design matrix, and two parameter estimates with their

Hello All, Anyone who has experience using Digium analog card clones from any of the following: 1. Zycoo 2. CTVON 3. Chinaroby 4. Etross 5. Immediate IT (IIT) 6. Realtone and can give review which one is good quality with easy configuration and error free running. Also since some of these manufacture only analog cards, does anyone have any experience using these in a single system with digital

Hi guys, I have a group of check box in rails page. check box Code as below: <% for count in @total_cellno %> <input name="checkbox" type="checkbox" value="<%= count %>" /> <% end %> I want to receive the selected value in my controller model. @selected_box << params["checkbox"] I guess that it provides values

I would like to know more about the output from the terms option in predict(), especially for a glm. And especially when there is an interaction effect being considered. Here's why I ask. These articles were recently brought to my attention. They claim that just about everybody who has reported an interaction coefficient in a logit or probit glm has interpreted it incorrectly. Ai, C. and

Hi all, I am trying to fit a logistic regression for a bivariate response using five independent variables in a stepwise procedure. My outputs look okay but does any one know (or is there any literature on) how the confidence intervals are calculated for the reported odds ratios..? Thanks! [[alternative HTML version deleted]]

Hi, I have a query from a client that can he use the E100P card to terminate the 2Mbps bandwidth in a linux box, thus reducing the cost of cisco router ?? The other end is a cisco 2620 router with E1 VWIC-1MFC. Can anyone explain if its possible with Asterisk and further any configuration help. Applreciated. Regards Azher Amin ------------------------------- http://www.consulttech.com.pk