search for: akramer

...trouble was when I attempt to make the package: ...a lot of stuff compiles correctly... gcc -std=gnu99 -shared -L/usr/local/lib64 -o grDevices.so chull.o devNull.o devPicTeX.o devPS.o devQuartz.o init.o ../../../../library/grDevices/libs/grDevices.so is unchanged make[5]: Leaving directory `/home/akramer/R-2.7.2/src/library/grDevices/src' make[4]: Leaving directory `/home/akramer/R-2.7.2/src/library/grDevices/src' Warning in solve.default(rgb) : unable to load shared library '/home/akramer/R-2.7.2/modules//lapack.so': /home/akramer/R-2.7.2/modules//lapack.so: undefined symbol:...

Hello, I watched your YouTube videos for explanation for R package. They are really helpful for new beginner for using R. Please I need your help for solving inequalities that contain beta functions using R studio. I attached the file that contains this inequalities. I appreciate your help and looking forward to hear from you. Akram -------------- next part -------------- A non-text attachment

Hi, I need to write two inequalities depend on cumulative distribution (CDF) of beta binomial distribution where alpha and beta are unknown and need to find them. CDF of betabinomial(2,10,alpha,beta) <0.3<=CDF of betabinomial(3,10,alpha,beta) and CDF of betabinomial(5,10,alpha,beta) <0.8<=CDF of betabinomial(6,10,alpha,beta) How I can do that using r studio package? I tried to do

Hi all, I''ve installed paperclips but paperclip is not saving the files my model has has_attached_file :attachment,:styles => { :medium => "300x300>", :thumb => "100x100>" } and i have db migration as class AddAttachmentToPolicies < ActiveRecord::Migration def self.up add_column :policies,

Hi All, I have a doubt regarding join tables I''m having 2 models 1)Fac 2)Cont and both models have " has and belong to many" relationships so there are 3 tables 1)facs 2)conts 3)conts_facs then i''m fetching the data in controller as @conts=Cont.find(:all]) @cfacs=Fac.all(:joins=>:conts, :select=>"facs.name") but i dont know how to get the

Hi, I am pleased to announce xorgproto version 2024.1 which includes updates for the DRI3 and Present protocol definitions to support explicit synchronization and other keysyms/keydefs fixes and improvements. Erik Kurzinger (2): DRI3: add DRI3ImportSyncobj and DRI3FreeSyncobj Present: add PresentPixmapSynced Jos? Exp?sito (1): meson: add header paths to declare_dependency

Alan Coopersmith (11): README.md: update & correct links to O'Reilly X Toolkit books unifdef ultrix unifdef sgi unifdef hpux unifdef __osf__ unifdef AIXV3 unifdef MOTOROLA unifdef USG unifdef VMS unifdef __EMX__ unifdef AIXSHLIB & SUNSHLIB Matt Turner (1): libXt 1.3.1 Mohamed Akram (1): Improve linking with

Hello I am running a project but I encounter a problem . I would be happy to receive help : problem: I have a binary dependent variable and some covariates logit(y)=a+bx+cz . I want to estimate the score vectors and their covariance by the usage of logit function and so glm in R .The vlaue of one of the coefficient ( like b) is known previously and I want to extract a and c and covariance

Hello ; I am doing a regression of count data (number of award and there are some covariates) I have estiamted the parameters of negative binomial distribuion (lambda is a function of covaraites, GLM model) by glm.nb function and training dataset. Now I want to predict the number of award (for example y=0, y=1, y=2,) or testing dataset. I dont know how to calculate this numbers? I would be very

Hello; Does anybody knows that R have a function for Generelized Negative Binomial model, something like "gnbreg" in "STATA" where dispersion parameter itself is a function of covaraites ? Thanks; [[alternative HTML version deleted]]

Hello , I need to estimate the parameters of generalized poisson regression model. I found that I could use : vglm(formula, family,.., data), but I dont know how to interpret the output!!! min 1Q Median 3Q Max elogit (lambda) -.66 -.61 -.46 -.06 35.33 log(theta) -10.2 -.02 .11 .64 1.2

...for the "factor" function. Am I right? The whole column does not need to be hashed, only the unique keys. Sure, there is the potential to overflow the key register, but this error should be thrown only if that occurs, no? Cordially, Adam D. I. Kramer, Ph.D. Data Scientist, Facebook, Inc. akramer at fb.com

can anybody guide me on how to create inner joins and left and right outer joins in RoR as both the tables has "has and belongs to many relationships" and there is ajoin table as well

Hi guys, First of all, thanks for your great work. So many people *need* Samba to work...! I have a couple of questions about Samba. I have been fiddeling with Samba config files for some time now (as well as reading documentation about it), and... there must be something I am missing. The network I am managing has a very, very standard configuration. It's a C class (netmask:

I'm sorry I haven't boiled this down to a more-minimal example yet, but ... I'm working on an S3 method (tidy.merMod, in the 'broom' package). It normally handles 'merMod' objects from the lme4 package, but I'm trying to make it handle 'merModLmerTest' objects from the lmerTest package too. The merModLmerTest class inherits (as an S4) class from the

I have installed an application and there is no error during installation. On run time it gives message: > Could not install 160 fonts. First Uninstalled font is 1. Please reinstall the fonts > from the setup disks. After ignoring above message I goto open a window made file and it says that encountered a serious error. needs to close down. Kindly advise. Thankyou.

I have data that looks like this: > df1 group id 1 red A 2 red B 3 red C 4 blue D 5 blue E 6 blue F I want a list of the groups containing vectors with the ids. I am avoiding subset(), as it is only recommended for interactive use. Here's what I have so far: df1 <- data.frame(group=c("red", "red", "red", "blue",

Hello everyone, I am doing the hypothesis test and I need the score vector of each iteration in glm (family=binomial); how could I do it. I tried trace option but it gives me just AIC of each iteration nothing more. thanks; [[alternative HTML version deleted]]