similar to: Power calculation using pwr.t.test()

Dear R-experts! Running a meta-analysis (using the magnificent metafor-package), I use cohen's d as a main outcome measure in a random-effects model. For most of the samples cohen's d is derived form a comparison of two groups (A & B). However some studies report results from an ANOVA (one-factor with three levels: C,D,E) whereas two groups (C,D) correspond to one group in the other

Hi, I am trying to do a power calculation for a difference in proportions test where I want to estimate the sample size required. I know (well estimate) that group one (n1) is 10% of the population and group 2 (n2) is 90% of the population. I know the effect size (h). pwr.2p2n.test only allows one variable to be left null whereas I would like both n1 and n2 to be determined where I know there

Hi all, I'm having trouble getting access to the pwr. This is on Ubuntu Lucid Lynx, 64 bit. I'm installing pwr via packages.install('pwr'), and loading it via library(pwr), both of which appear successful. Strangely, I never get access to the pwr object in R. I tried installing it to /usr/local/lib/R/site-library and ~/R/x86_64-pc-linux-gnu-library. I also tried installing it

On 12/22/2014 05:11 PM, Vince Hsu wrote: > The platform device does not use the common nouveau_pwr_init() to initialize > the PWR, but it does need the .prob() be assigned to avoid NULL pointer > dereference in graph/nve4.c. s/prob/pgob/ :-( Will fix in next version. > > Signed-off-by: Vince Hsu <vinceh at nvidia.com> > --- > > v2: this patch is added since v2. (v1

Hi, I am trying to sort out a discrepancy between power calculations results between me and another statistician. I use R but I am not sure what she uses. It is on the proportions test and so I have been using pwr.prop.test. I think I have tracked the problem down to pwr.prop.test not using the continuity correction for the test (I did this by using the java applet from

This patch fixes the pwr firmware to play nicely at least on NVA3. Because Martin might send more patches soon, I didn't include a regenerated nvXX.fuc.h. To me it makes more sense if all patches are merged then, and a final patch regenerates the headers in one go. Of course, I did test this patch and found it to work as intended, so feel free to pick up as you please.

Hello, I'm a new user of the R environment. I need to do some power analysis. For this purpose, I installed the "pwr" package from the R window, but unfortunately something went wrong. The installation of the package was successful (I got a message saying so in R) but when I enter a function of that package it says that the function does not exist! I appreciate your help,

Dear R-experts! I am working on some meta-analysis using the metafor package. I would like to extract values of the confidence intervals of the effect sizes of the single studies from an rma object. Those values are printed out when plotting a forest plot using the forest function on the rma object, however I was not able to locate them. Many thanks for your help! Jokel [[alternative HTML

Dear R communitiy, I am trying to use multiple functions for aggregation within a function call for dcast. However this seems to result in an error. Also I have not managed to make dcast() work with fun.aggregate=sd. Please find attached some example code using the ChickWeight data. Many thanks for your help! Jokel #Chick weight example names(ChickWeight) <- tolower(names(ChickWeight))

From: Martin Peres <martin.peres at labri.fr> --- nvkm/subdev/pwr/fuc/kernel.fuc | 13 +++++++++++++ nvkm/subdev/pwr/fuc/nv108.fuc.h | 25 +++++++++++-------------- nvkm/subdev/pwr/fuc/nva3.fuc.h | 23 ++++++++++------------- nvkm/subdev/pwr/fuc/nvc0.fuc.h | 23 ++++++++++------------- nvkm/subdev/pwr/fuc/nvd0.fuc.h | 23 ++++++++++------------- 5 files changed, 54 insertions(+), 53

The platform device does not use the common nouveau_pwr_init() to initialize the PWR, but it does need the .prob() be assigned to avoid NULL pointer dereference in graph/nve4.c. Signed-off-by: Vince Hsu <vinceh at nvidia.com> --- v2: this patch is added since v2. (v1 is the RFC actually) nvkm/subdev/pwr/base.c | 2 +- nvkm/subdev/pwr/priv.h | 1 + 2 files changed, 2 insertions(+), 1

On Tue, Dec 23, 2014 at 11:37 AM, Vince Hsu <vinceh at nvidia.com> wrote: > > On 12/22/2014 05:11 PM, Vince Hsu wrote: >> >> The platform device does not use the common nouveau_pwr_init() to >> initialize >> the PWR, but it does need the .prob() be assigned to avoid NULL pointer >> dereference in graph/nve4.c. > > s/prob/pgob/ :-( > Will fix in

Needs to be done after wait-for-VBLANK, and NVA3 requires register writes in between. Rather than hard-coding register writes, just split out fb_disable and fb_enable. Signed-off-by: Roy Spliet <rspliet at eclipso.eu> --- drivers/gpu/drm/nouveau/core/include/subdev/pwr.h | 2 ++ drivers/gpu/drm/nouveau/core/subdev/fb/ramfuc.h | 14 ++++++++++++++

Dear R-experts! I am currently running a meta-analysis with the help of the great metafor package. However I have some difficulties setting up my raw data to enter it to the meta-analysis models. I have a group of subjects that have been measured in two continuous variables (A & B). I have the information about the mean of the two variables, the group size (n) and the standard deviations of

Hello, I am trying to write a script with the end goal of graphing power (y) as a result of sample size (x) at a variety of effects sizes. I am new to loops, and I think my problem is there. Here's the script, which is modified from the script found at the bootom of http://www.statmethods.net/stats/power.html. ANy help would be much appreciated!mtesche at ualberta.ca library(pwr)

Dear R-experts! In a meta-analysis (metafor) I would like to assess the effect of two categorical covariates (A & B) whereas they both have 4 levels. Is my understanding correct that this would require to dummy-code (0,1) each level of each covariate (A & B)? However I am interested in the main-effects and the interaction of these two covariates and the dummy-coding would only allow to

What is the rationale behind having both the delta and sd parameters for the power.t.test function? For the relevant noncentrality parameter, we only need the ratio delta/sd. If my effect size is given as Cohen's d, then I only got that ratio and not sd. As far as I see, in such a case, I can specify delta=d and leave sd at its default value 1. Is this correct or am I missing something?

Hello, I've encountered a very weird issue with the method subset(), or maybe this is something I don't know about said method that when you're subsetting based on the columns of a data frame you can only use constants (0.1, 2.3, 2.2) instead of variables? Here's a look at my data frame called 'ea.cad.pwr': *>ea.ca.pwr[1:5,] MAF OR POWER 1 0.02 0.01 0.9999 2 0.02

I'm trying to join a Samba 3.0.4 (compiled from source on Debian) to an Active Directory as a member server. I believe Kerberos is configured correctly as kinit creates a ticket for the realm. Executables appear to have support for Kerberos and LDAP (smbd -b | grep KRB and grep LDAP) return OK. When I try to join the AD with net ads join -U myadminusername I'm prompted for my

Hi everyone. I need to do a sample size calculation for a one sample based on a CI interval of +- 5% of the proportion, we expect to have a rate of 0.07 based on similar studies. I have looked at the pwr-package as well as the power.prop.test function, but I can't see how to make either do what I need. Could anyone point me to a function, or explain how to do this will the functions in pwr?