similar to: Validation of logistic models in R 2.12

Could someone help me on this please? -----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Dwaipayan Dasgupta Sent: Thursday, May 03, 2012 1:43 PM To: r-help at r-project.org Subject: [R] Validation of logistic models in R 2.12 Hi everyone, I am trying to validate a logistic model built in R. Not my version of R is 2.12 and I

Hi, I am stuck with creating a conditional categorical variable in R If my dataframe data_2 has 3 variables A,B,C I want to create variable D which would be something like : data_2$D <- ifelse(data_2$A < data_2$B & promotion_ind =="N",1,0), this throws up an error "In Ops.factor(data_2$A,data_2$B) : < not meaningful for factors I have tried converting the

Hi, I'am using the sentient analysis available in "R2.15". Now the challenge that I'am facing is that the Naïve Baye's has an inbuilt list of 6500 words in which it has been trained. So my question that can I increase the number of words on which this algorithm is trained? In case i can increase the list can someone tell me the procedure? Regards Nalin American Express

Hi, I have a logit model built in R which I am trying to validate . Could you please help me with creating lift charts and area under ROC for the same. I am trying to use package ROCR The indicative code for this is : newlogit3<- glm(Attrition_ind ~ Time.in.AXP+ Age +as.factor(Increase.in.Rating.in.Current.year) +as.factor(Below.Market.Merit.Budget)+as.factor(Drop.in.AIA)

Hi, Is there any package in R which can help me do rule based text mining. -Nalin American Express made the following annotations on Mon Jun 18 2012 00:27:17 ****************************************************************************** "This message and any attachments are solely for the intended recipient and may contain confidential or privileged information. If you are not the

Hi, I am trying to do some predictive modeling around attrition and want to split the dataset into test and train (80:20) and keep the ratio of attritees:non attrites same. In my dataset the attrition indicator is coded as 0(for non-attritees) and 1 (for attritees) and I want to keep the ratio of 0's to 1 similar. I apologize for this trivial question but this is my second week with R.

On 21/06/17 04:38 PM, Daniel Vetter wrote: > On Tue, Jun 20, 2017 at 09:25:25PM +0200, Peter Rosin wrote: >> This makes the redundant fb helpers .load_lut, .gamma_set and .gamma_get >> totally obsolete. >> >> I think the gamma_store can end up invalid on error. But the way I read >> it, that can happen in drm_mode_gamma_set_ioctl as well, so why should >>

Hello everybody, I met a problem when I configure the samba for our company. The case is, 1. We have to use Windows Domain to authenticate the user. 2. Only a few domain users can access the samba server. 2. We wanna all the allowed domain users are mapped to 1 unix userid: checkpoint. The Window Domain auth is working perfect. And if we created the unix id same as the domain users,

On Wed, Jun 21, 2017 at 04:59:31PM +0900, Michel Dänzer wrote: > On 21/06/17 04:38 PM, Daniel Vetter wrote: > > On Tue, Jun 20, 2017 at 09:25:25PM +0200, Peter Rosin wrote: > >> This makes the redundant fb helpers .load_lut, .gamma_set and .gamma_get > >> totally obsolete. > >> > >> I think the gamma_store can end up invalid on error. But the way I read

On Tue, Jun 20, 2017 at 09:25:25PM +0200, Peter Rosin wrote: > This makes the redundant fb helpers .load_lut, .gamma_set and .gamma_get > totally obsolete. > > I think the gamma_store can end up invalid on error. But the way I read > it, that can happen in drm_mode_gamma_set_ioctl as well, so why should > this pesky legacy fbdev stuff be any better? > >

Hi, See below I reply your message for <https://stat.ethz.ch/pipermail/r-help/2008-April/160966.html>[R] predict.glm & newdata posted on Fri Apr 4 21:02:24 CEST 2008 You say it ##works fine but it does not: if you look at the length of yhat2, you will find 100 and not 200 as expected. In fact predict(reg1, data=x2) gives the same results as predict(reg1). So I am still looking for

Server - HPUX 11.31 Clients - WIN7 WIN10 After upgrading my versions to 4.9.0.0 I've noticed that we're unable to connect to our AD joined SMB HP-UX Server any longer. Could someone tell me where to begin digging in release notes between 3.6.6-4.9.0.0 to find out what changed in the smb.conf file that would be causing our problems? Here's a somewhat similar .conf output global]

On 2017-06-21 09:38, Daniel Vetter wrote: > On Tue, Jun 20, 2017 at 09:25:25PM +0200, Peter Rosin wrote: >> This makes the redundant fb helpers .load_lut, .gamma_set and .gamma_get >> totally obsolete. >> >> I think the gamma_store can end up invalid on error. But the way I read >> it, that can happen in drm_mode_gamma_set_ioctl as well, so why should >> this

Dear R-list, I wish a very happy new year and send you a little question: I have different variables which names are m1, m2, m4, .., m10, ... and want to obtain for example mean of each of them without typing each mean(m1), mean(m2), .... What is the solution for decomposing names in mXX? With my best regards, EA. ============================================ Erik-André SAULEAU SEAIM Hôpital du

Dear R-list, I try to adjust GLMM on incidence cancer data. Without random effect, in GLM the command is, for example with sex effect, glm(Observed~sex+offset(log(Expected)),family=poisson) because the observed are Poisson distribued with parameter Expected*incidence rate. But know I want to introduce random effect (for example spatial effect) and it seems to me that the "offset" does

Hello R-List I use DClusters package (I work in a cancer regestry). I have 2 questions about it: 1-how is it possible to get back the bootstrap pValue? I mean the pValue of the calculated statistic with respect of the distribution of this statistic under the null hypothesis. 2-how is it possible to test an overdispersion in the poisson model? for choosing a best model I need this mesure of

This makes the redundant fb helpers .load_lut, .gamma_set and .gamma_get totally obsolete. I think the gamma_store can end up invalid on error. But the way I read it, that can happen in drm_mode_gamma_set_ioctl as well, so why should this pesky legacy fbdev stuff be any better? drm_fb_helper_save_lut_atomic justs saves the gamma lut for later. However, it saves it to the gamma_store which should

- mkdiskimage -d image.dsk 2 64 32 - load it in dosemu and make it bootable with sys - isolinux: label 999 kernel memdisk append initrd=image.dsk harddisk c=2 h=63 s=32 results: memdisk 2.11 -> boots memdisk > 2.11 (up to 3.07) -> hangs The following message is printed in the boot messages > 2.11: MEMDISK: image has a fractional end sector The complete error message

Tried both normal and debug images with Roxio 6 and Nero 6.6. Everything worked fine. Also tried cdrwin and ran into an interesting issue with it regarding it's support of image files >8k -- reported it to them. FYI, tried booting on 2 Intel and 2 Asus planars all reported no info returned in the spec packet. David >Okay, after a bit more research I ended up implementing this

Hi all, I have released SYSLINUX 2.12-pre1. This version has an initial version of libcom32, a small C library based on klibc for writing com32 programs in C. It is far from perfect yet, but it should be a lot easier to use than hand-coding everything. As usual, find this stuff in: ftp://ftp.kernel.org/pub/linux/utils/boot/syslinux/Testing/ -hpa