similar to: Beginner's question about t.test()

Hi. I'd like to do a t-test to compare the Delta values of items with Crit=1 with Delta values of items with Crit=0. What is the t.test syntax? It should produce a result like this below (I can't get in touch with the person who originally did this for me) Welch Two Sample t-test data: t1$Delta by Crit t = -3.4105, df = 8.674, p-value = 0.008173 alternative hypothesis: true

Hello! I would like to ask the list a question, as I could not find the answer in online material as well as several books. I do have summary data (mean, standard deviation and sample size n) and want to analyze this data. The summary data is supposed to be from a normal distribution. I need the following calculations on this summary data (no, I do not have the original data): - one

Hello, I'm posting this again (with some small edits). I didn't get any replies last time...hoping for some this time. :) Currently I'm only coming up with brute force solutions to this issue (loops). I'm wondering if anyone has a better way to do this. Thank you for your help in advance! The problem: I have endpoints of one x range (x_rng) and an unknown number of s ranges

The driver doesn't consider framebuffer pitch and offset, leading to a wrong display in case offset != 0 or pitch != width * bpp. Fix it. Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/bochs/bochs.h | 2 +- drivers/gpu/drm/bochs/bochs_hw.c | 14 ++++++++++---- drivers/gpu/drm/bochs/bochs_kms.c | 3 ++- 3 files changed, 13 insertions(+), 6 deletions(-)

If bo->width doesn't match fb->width the driver fails to configure the display correctly, resulting in a scrambled display. Fix it. Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/bochs/bochs.h | 2 +- drivers/gpu/drm/bochs/bochs_hw.c | 13 +++++++++---- drivers/gpu/drm/bochs/bochs_kms.c | 1 + 3 files changed, 11 insertions(+), 5 deletions(-)

I'm trying to convert an S-Plus program to R.  Since I'm a SAS programmer I'm not facile is either S-Plus or R, so I need some help.  All I did was convert the underscores in S-Plus to the assignment operator <-.  Here are the first few lines of the S-Plus file:   sshc _ function(rc, nc, d, method, alpha=0.05, power=0.8,              tol=0.01, tol1=.0001, tol2=.005, cc=c(.1,2),

Hello All, I was wondering how I can get the overall Pearson chi^2 test of model fit with its df and p value in the LTM package for the 2PL models. Thanks, -- Davood Tofighi Department of Psychology Arizona State University [[alternative HTML version deleted]]

Call bochs_unload via drm_driver.release to make sure we release stuff when it is safe to do so. Use drm_dev_{enter,exit,unplug} to avoid touching hardware after device removal. Tidy up here and there. Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/bochs/bochs_drv.c | 6 +++--- drivers/gpu/drm/bochs/bochs_hw.c | 24 +++++++++++++++++++++++- 2 files changed, 26

I am trying to write a function that will simulate observed counts X and Y as below, I want the function to be able give many replicates, can somebody advise? thanks Oarabile #alpha,n sdx and sdy are constant, and N is a vector of length n. unstructured<-function(n,N,alpha,sdx,sdy){ Vx<-rnorm(n,mean=0,sd=sdx) Vy<-rnorm(n,mean=0,sd=sdy) thetax<-exp(alpha+Vx) thetay<-exp(alpha+Vy)

Call bochs_unload via drm_driver.release to make sure we release stuff when it is safe to do so. Use drm_dev_{enter,exit,unplug} to avoid touching hardware after device removal. Tidy up here and there. v4: add changelog. v3: use drm_dev_*(). v2: move hardware deinit to pci_remove(). Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/bochs/bochs_drv.c | 6 +++---

Call bochs_unload via drm_driver.release to make sure we release stuff when it is safe to do so. Use drm_dev_{enter,exit,unplug} to avoid touching hardware after device removal. Tidy up here and there. v4: add changelog. v3: use drm_dev_*(). v2: move hardware deinit to pci_remove(). Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/bochs/bochs_drv.c | 6 +++---

I'd like to learn the process of revising R functions & packages and then submitting proposed patches to the R Core team. Would someone be willing to mentor me through one example? For starters, consider an example. I'd like to revise the t.test function to return the stderr value to the user. We only need to change the "rval" in the third-from-the end line of

On CentOS5 with the latest updates applied, the logwatch filter for postfix returns way too many lines from the log. I get an "unmatched entries" message and all messages that have gone through the system is listed. Here is an example: 8F930A8092: to=<morten at foo.bar>, orig_to=<morten at localhost>, relay=local, delay=0.19, delays=0.06/0.01/0/0.12, dsn=2.0.0,

Greetings all, I am curious to know if either of these two sets of code is more efficient? Example1: ## t-test ## colA <- temp [ , j ] colB <- temp [ , k ] ttr <- t.test ( colA, colB, var.equal=TRUE) tt_pvalue [ i ] <- ttr$p.value or Example2: tt_pvalue [ i ] <- t.test ( temp[ , j ], temp[ , k ], var.equal=TRUE) ------------- I have three loops, i, j, k. One to test the all of

Hello R-users, I've been looking for a function performing one and two sample Hotelling test for testing equality of mean vectors. Has anyone implemented such a function in R? thanks a lot, Bill ============== Bill Donner Statistician

Hi, I''ve got a newbie question--sorry if this is covered elsewhere, I parsed through the archives for awhile and didn''t see it. I''d like to listen for whenever a file is renamed (e.g. foo.txt -> foo.old) and then magically change it back. This sounds odd, but I''m working with a stubborn application and this will actually make things work nice. So, if I do:

hi netters I have a rather simple question. I have a data frame with two variables X and Y, both of which are factors. X has 100 levels while Y has 10 levels only. The data frame has 100 rows in all, so for X the values are unique, and Y has many replicate values. Now I wanna reduce the data frame into 10 rows only, according to the 10 levels of Y. I don't care which value of X is in

Dear friends, This is the dataset I am currently working with: >dput(mod14data2_random) structure(list(index = c(14L, 27L, 37L, 33L, 34L, 16L, 7L, 1L, 39L, 36L, 40L, 19L, 28L, 38L, 32L), y = c(0.44, 0.4, 0.4, 0.4, 0.4, 0.43, 0.46, 0.49, 0.41, 0.41, 0.38, 0.42, 0.41, 0.4, 0.4 ), x = c(16, 24, 32, 30, 30, 16, 12, 8, 36, 32, 36, 20, 26, 34, 28)), row.names = c(NA, -15L), class =

greened at obbligato.org (David A. Greene) writes: > Also, I know I introduced the #..# "pasting" operation but I've found it > to be too limiting. In this example: [snip!] > what if we instead did this: > > (Equivalent TableGen code with a for-loop) > ---------------------------------------- > multiclass PTX_FLOAT_4OP<string opcstr, SDNode opnode1, SDNode

Is there any API in LLVM that can represent the field in java. such as the instucion "iget vx, vy, field_id" -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20130716/81e59a4a/attachment.html>