similar to: Help - linear regression

Hello, I'm a new R user. I have two different dummy tables with the variable name tb1 and tb2. tb1< v1 v2 v3 v4 "chr1" 22 23 3 "chr1" 36 37 1 "chr1" 54 55 0 "chr1" 77 78 1 "chr2" 80 81 4 "chr2" 85 86 0 "chr2" 99 100 1

I know there are a lot of reshape questions on the mailing list, but I haven't been able to find an answer to this particular issue. I am trying to get a datafame structured like this: > sub <- rep(1:5) > ta1 <- rep(1,5) > ta2 <- rep(2,5) > tb1<- rep(3,5) > tb2 <- rep(4,5) > DF <- data.frame(sub,ta1,ta2,tb1,tb2) > DF sub ta1 ta2 tb1 tb2 1

Hi, I'm posting yet another question about tcltk since I'm still struggling with the package. I'm trying to create a tklistbox and a ttkcombobox on the same parent and am having a problem. Here's an example: library(tcltk) tt <- tktoplevel() tcl1 <- tclVar() tcl2 <- tclVar() tclObj(tcl1) <- letters[1:5] tclObj(tcl2) <- LETTERS[1] tb1 <- tklistbox(tt,

Hi all , I have a dataframe (Hypertension) with following headers :- > Hypertension ID Hypertension(before drug A) Hypertension(On drug A) On drug B? Healthy diet? 1 160 90 True True 2 190

Hi, I'm a beginner with R. I have two different  tables with the variable name dmr1 and tp2 a given following. v1 is the common  column  field of the both tables. In the first table column v3 is always v2+1 while in the second table v2 and v3 hold the range. I want to know which rows of tb1 intersect with the range between v2 and v3 of tb3. I need some one's kind help to solve this

Hi R user, I was trying to convert a long matrix to wide? I have an example and would like to get a table (FinalData1): FinalData1 B1 B2 id_X "A" "B" id_Y "A" "B" but I got the following table using the following code. FinalData1 B1 B2 id_X "A" "A" id_Y "A" "B" the code and the

Hello all, tl;dr, can you point me to the point in the libvirt repo where it's trying to change a tap-device's SELinux label? I am trying to create a tap device with libvirt on a super-privileged container, and then use it on another, unprivileged container with libvirt. User wise, I know I need the super-privileged container to open the tap device with the user of the unprivileged one -

On Tue, Jul 14, 2020 at 3:33 PM Daniel P. Berrangé <berrange@redhat.com> wrote: > On Tue, Jul 14, 2020 at 03:21:17PM +0300, Ram Lavi wrote: > > Hello all, > > > > tl;dr, can you point me to the point in the libvirt repo where it's > trying > > to change a tap-device's SELinux label? > > > > I am trying to create a tap device with libvirt on

Hello all and congrats on Rsync 3.0.0! Where is the signing key for rsync? I am trying to verify the signature: http://rsync.samba.org/ftp/rsync/src/rsync-3.0.0.tar.gz.asc. I have searched the FAQ, the web site, and the ftp site for the answer to this question to no avail, and unfortunately the mailing list web interface doesn't seem to have a search facility either. :( I even tried to

Hi Marna, Try this: library(prettyR) stretch_df(dat,idvar="ID",to.stretch=c("EventDate","SITE")) Jim On Wed, May 2, 2018 at 8:24 AM, Marna Wagley <marna.wagley at gmail.com> wrote: > Hi R user, > I was trying to convert a long matrix to wide? I have an example and would > like to get a table (FinalData1): > > > FinalData1 > B1

On Tue, Jul 14, 2020 at 6:03 PM Daniel P. Berrangé <berrange@redhat.com> wrote: > On Tue, Jul 14, 2020 at 04:02:17PM +0300, Ram Lavi wrote: > > On Tue, Jul 14, 2020 at 3:33 PM Daniel P. Berrangé <berrange@redhat.com> > > wrote: > > > > > On Tue, Jul 14, 2020 at 03:21:17PM +0300, Ram Lavi wrote: > > > > Hello all, > > > > > >

I have seen the testing doc or the FAQ on ROR site, but is there a zip file for it?

Hi Jim, Thank you very much for your suggestions. I used it but it gave me three sites. But actually I do have only two sites "Id_X" and "Id_y" . In fact "A" is repeated two times for "Id_X". If it is repeated, I would like to take the first one among many repeated values. dat<-structure(list(ID = structure(c(1L, 1L, 1L, 2L, 2L), .Label =

Dear R users, I would like to know if there is a way in R to execute a post-hoc test (factor levels comparison, like Tukey for ANOVA) of a non-parametric analysis of variance with kruskal.test() function. I am comparing three different groups. The preliminary analysis using the kruskal-wallis-test show significance, but I still don''t know the relationship and the significance level

Dear R-list members, I would like to pose a question about the use and results of the glm() function for logistic regression calculations. The question is based on an example provided on p. 229 in P. Dalgaard, Introductory Statistics with R, 2nd. edition, Springer, 2008. By means of this example, I was trying to practice the different ways of entering data in glm(). In his book, Dalgaard

Could someone kindly help me with the following question: when I analyze microarray data I need to fit multiple linear regression models between genes and clinical patameters followed by estimation of the p-values. What's the solution to implement Westfall and Young's algorithm + resampling into the scheme: lm -> stepAIC -> anova. Actually permcor works fine for me in the case of

Dear R users, Please can you help me with a relatively straightforward problem that I am struggling with? I am simply trying to plot a baseline survivor and hazard function for a simple data set of lung cancer survival where `futime' is follow up time in months and status is 1=dead and 0=alive. Using the survival package: lung.wbs <- survreg( Surv(futime, status)~ 1, data=lung,

Hi Marna, I think this is due to having three rows for id_X and only two for id_Y. The function creates a data frame with enough columns to hold the greatest number of values for each ID variable. Notice that the SITE_n columns contain three values for id_X (A, A, B) and two for id_Y (A, B, NA) as there was no third occasion of measurement for the latter. Even though there are only two _values_

Hello list, I want to make a large rulebased algorithm, to provide decision support for drug prescriptions. I have defined the algorithm in a function, with a for loop and many if statements. The structure should be as follows: 1. Iterate over a list of drug names. For each drug: 2. Get some drug related data (external dataset). Row of a dataframe. 3. Check if adaptions should be made to

I have the following relatively simple problem. Say we have three factors, and we want to create a cross-tabulation against each of the other two: x <- factor(rbinom(5, 1, 1/2)) y <- factor(rbinom(5, 1, 1/2)) z <- factor(rbinom(5, 1, 1/2)) table(x,y) table(x,z) This looks like: y x 0 1 0 2 0 1 1 2 z x 0 1 0 1 1 1 2 1 I would like to get (surely this will