similar to: suggestion for paired t-tests

Does anyone know of an R-function or method to compare two C-statistics (Harrells's C - rcorr.cens) obtained from 2 different models in partially paired datasets (i.e. some similar and some different cases), with one continuous independent variable in each separate model? (in a survival analysis context)? I have noticed that the rcorrp.cens function can be used for paired data. Thanks

I saw a Help e-mail related to MLE. Does R have a probability weighted method (PWM) estimator function? I can't seem to find anything on PWM, unless my eyes are playing trick on me. [[alternative HTML version deleted]]

Hello, I have three numerical variables and I would like to test if their correlation is significantly different. I have seen that there is a package that "Test the difference between two (paired or unpaired) correlations". [https://www.personality-project.org/r/html/paired.r.html] However, there is the need to convert the correlations to "z scores using the Fisher r-z

Thank you, but this now sounds more difficult: what would be the point in having these ready-made functions if I have to do it manually? Anyway, How would I implement the last part? On Thu, Mar 23, 2023 at 1:23?AM Ebert,Timothy Aaron <tebert at ufl.edu> wrote: > > If you are open to other options: > The null hypothesis is that there is no difference. > If I have two equations

Hi, For some days I have been looking for the bug that causes an easily reproducible oops in the guest when I apply my PAE support _draft_ patch (appended at the end of this mail) to lguest. This is the oops: Setting kernel variables...done. Will now mount local filesystems:. Will now activate swapfile swap:done. Cleaning /tmp... [ 84.749676] BUG: unable to handle kernel NULL pointer

Hi, For some days I have been looking for the bug that causes an easily reproducible oops in the guest when I apply my PAE support _draft_ patch (appended at the end of this mail) to lguest. This is the oops: Setting kernel variables...done. Will now mount local filesystems:. Will now activate swapfile swap:done. Cleaning /tmp... [ 84.749676] BUG: unable to handle kernel NULL pointer

I am new to R and I suspect my problem is easily solved, but I haven't been able to figure it out without using loops. I am trying to implement Blair & Karniski's (1993) permutation test. I've included a sample data frame below. This data frame represents the conditional means (C1, C2) for 3 subjects in 2 consecutive samples of a continuous data set (e.g. ERP waveform).

Hi folks: This may be a stupid question, but I cannot seem to find a way to tell readBin that I want to read 2-byte integers from the connection. The input file is 150,720 bytes long containing 75,360 short (2-byte) integers. But specifying "integer" or "int" for what in readBin only returns me a vector of length 37680, leading me to believe that sizeof(integer) or

Christoph Hellwig said runs sparse: 1) page_tables.c unnecessary initialization 2) Change prototype of run_lguest and do cast in caller instead (when we add __user to cast, it runs over another line). Al Viro pointed out the ugly cast in push_lguest_stack(): 3) Stick with unsigned long for arg, removes 4 casts in total. Most importantly, I now realize that Christoph's incorrect ranting

Christoph Hellwig said runs sparse: 1) page_tables.c unnecessary initialization 2) Change prototype of run_lguest and do cast in caller instead (when we add __user to cast, it runs over another line). Al Viro pointed out the ugly cast in push_lguest_stack(): 3) Stick with unsigned long for arg, removes 4 casts in total. Most importantly, I now realize that Christoph's incorrect ranting

I did this: nb <- naiveBayes(users, platform) pl <- predict(nb,users) nrow(users) ==> 314781 ncol(users) ==> 109 1. naiveBayes() was quite fast (~20 seconds), while predict() was slow (tens of minutes). why? 2. the predict results were completely off the mark (quite the opposite of the expected overfitting). suffice it to show the tables: pl: android blackberry ipad

Impact: potential bugfix In theory, the kernel could reuse the same page as pgdir for a new process while the hypervisor keeps it cached. This would have undesirable results. Signed-off-by: Rusty Russell <rusty at rustcorp.com.au> --- arch/x86/include/asm/lguest_hcall.h | 1 + arch/x86/lguest/boot.c | 8 ++++++++ drivers/lguest/hypercalls.c | 3 +++

Impact: potential bugfix In theory, the kernel could reuse the same page as pgdir for a new process while the hypervisor keeps it cached. This would have undesirable results. Signed-off-by: Rusty Russell <rusty at rustcorp.com.au> --- arch/x86/include/asm/lguest_hcall.h | 1 + arch/x86/lguest/boot.c | 8 ++++++++ drivers/lguest/hypercalls.c | 3 +++

Folks, we have seen the following bug with 3.16 as a KVM guest. It suspect the blk-mq rework that happened between 3.15 and 3.16, but it can be something completely different. [ 65.992022] Unable to handle kernel pointer dereference in virtual kernel address space [ 65.992187] failing address: ccccccccccccd000 TEID: ccccccccccccd803 [ 65.992363] Fault in home space mode while using kernel

Folks, we have seen the following bug with 3.16 as a KVM guest. It suspect the blk-mq rework that happened between 3.15 and 3.16, but it can be something completely different. [ 65.992022] Unable to handle kernel pointer dereference in virtual kernel address space [ 65.992187] failing address: ccccccccccccd000 TEID: ccccccccccccd803 [ 65.992363] Fault in home space mode while using kernel

useR's, I am trying to do a power calculation for a survival analysis using a logrank test and I need some help properly doing this in R. Here is the information that I know: - I have 2 groups, namely HG and LG - Retrospective analysis with subjects gathered from archival data over 20 years. No new recruitment of subjects and no estimated time to target accrual and accrual rate. - Survival

I am aware this has been asked before but I could not find a resolution. I am doing a logit lg <- glm(y[1:200] ~ x[1:200,1],family=binomial) Then I want to predict a new set pred <- predict(lg,x[201:250,1],type="response") But I get varying error messages or warnings about the different number of rows. I have tried data/newdata and also to wrap in data.frame() but cannot get

This series takes one more step towards cpu-ification of lguest. As for rusty's last suggestion, I get rid of the whole bunch of "struct lguest *lg = cpu->lg" statements around by using lg_cpu as our base structure wherever it matters. (this saves us 11 lines)

This series takes one more step towards cpu-ification of lguest. As for rusty's last suggestion, I get rid of the whole bunch of "struct lguest *lg = cpu->lg" statements around by using lg_cpu as our base structure wherever it matters. (this saves us 11 lines)

hi, i''ve tried again Debian testing, with xen 3.1 binary. it works fine but i can''t have the networt working: i''ve have an ethernet card with static IP: 172.20.2.160 gateway: 172.20.2.1 uname -r :2.6.18-xen without xen, the network works fine. here''s my output: eth0 Lien encap:Ethernet HWaddr 00:0F:FE:6B:57:32 inet adr:172.20.2.160