similar to: convert count data to binary data

Hi, I had the following code: testp <- rcorr(t(datcm1),type = "pearson") mat1 <- testp[[1]][,] > 0.6 mat2 <- testp[[3]][,] < 0.05 mat3 <- mat1 + mat2 The resulting mat3 (smaller version) matrix looks like: NA 0 0 0 0 NA 0 NA 0 0 NA 2 0 0 2 NA To get to the number of times a '2' appears in the rows, I was

I need some help summarizing complex data frames (small example below): m1_1 m2_1 m3_1 m1_2 m2_2 m3_2 i1 1 1 1 2 2 2 i1 2 1 1 2 2 2 i2 2 2 1 2 2 2 For an arbitrary number of columns (say m1 ?. m199) where the column names have variable patterns, and such that each set of columns is repeated (with potentially unique data) an

Hello, it seems to be a simple problem, but I couldn't find an answer in the archiv. (I think, it must has something to do with the group-select, like in php) I've the following data.frame: A B C 1 3 6 5 2 4 4 20 3 5 8 2 I want to get the number of the

Hi, I?m new to R but I?m interested in using the fdim package to find the fractal dimension of a dataset. I downloaded the the package from https://cran.r-project.org/src/contrib/Archive/fdim/ and successfully installed it together with xgobi. However, when I try to run the first example, after df <- fdim(mydata,q=0,Alpha=0.3) I get the following error: Error in .C("pointdif",

Hi, I'm writing a script to mark all new mail read, including all mail in folders, for my system which uses Maildir and Dovecot. The reason for this script is that I use Google Mail at work, which forwards to my SMTP/IMAP system at home. When I've finished my last check of GMail at work, I want to be able to quickly mark all mail as read at home too. Basically this script moves

Dear all, We are trying to clean multiple realizations of a pattern. Erroneous NODATA and spurious DATA occur in the realizations. As we have to do a 1000 realizations for many patterns, efficiency of the code is important. We need to correct the realizations with a 'mask' pattern of DATA/NODATA. We think an ifelse should do the job. Spurious DATA will be simply removed using the

Dear all R2.10 WinXP I have a dataset dealing with the way different wheat cultivars build their yield. Wheat ears are organised in spikelets where the spikelets can be numbered from the bottom, with even numbers on one side and odd on the other. I know how many kernels there were in each spikelet after some months spent counting them... Now I want to illustrate the differences between the

Hi I am preparing a vignette, and I am finding that LaTeX ties (that is, the tilde symbol, "~", used to tell LaTeX not to make a newline in the output), are appearing as actual tildes. This is not desired behaviour for me. Thus the PDF includes things like this: ". . . taken directly from~Oakley (1999)....". [this typeset as "taken directly

I've just installed the Samba 3.0.7 on my FreeBSD box. I am trying to authenticate it to the Active Directory (for my Squid server). When I go to a webpage using the squid server, I get this error from Samba's Winbind: Oct 25 15:33:39 eclipse winbindd[61830]: [2004/10/25 15:33:39, 0] nsswitch/winbindd.c:process_loop(737) Oct 25 15:33:39 eclipse winbindd[61830]: process_loop: Invalid

> On 30 July 2018 at 20:37 ????? <vtol at gmx.net> wrote: > > > > >>>>>>> facing [ no shared cipher ] error with EC private keys. > >>>>>> the client connecting to your instance has to support ecdsa > >>>>>> > >>>>>> > >>>>> It does - Thunderbird 60.0b10 (64-bit) >

I am struggling with migrating some stata code to R. I have a data frame containing, sometimes, repeat observations (rows) of the same family. I want to keep only one observation per family, selecting that observation according to some other variable. An example data frame is: # construct example data fam <- c(1,2,3,3,4,4,4) wt <- c(1,1,0.6,0.4,0.4,0.4,0.2) keep <- c(1,1,1,0,1,0,0)

Dear Samba Friends, I got the following error again and again: <snip> ..... Sep 4 10:58:18 sun smbd[94479]: [2006/09/04 10:58:18, 0] smbd/notify_fam.c:fam_check_reconnect(136) Sep 4 10:58:18 sun smbd[94479]: failed to connect to FAM service Sep 4 10:58:23 sun smbd[94479]: [2006/09/04 10:58:23, 0] smbd/notify_fam.c:fam_check_reconnect(136) Sep 4 10:58:23 sun smbd[94479]: failed to

Hi everybody, I recently used xyplot, but I found that for control flow can't work in the xyplot. The program code and some of my data file are shown as follow. Would someone please tell me where my code is wrong and how can make the code right? Thanks. Best regards Yuanzhen Lin Code: library("lattice") plot.data$Fam<-as.numeric(plot.data$Fam) #### xyplot can work if one

Hello, I know that it'll be quite easy to do what I want but somehow I am lost as I am new to R. I want to get summary results arranged by groups. In detail I'd like get the number (levels) of Species per Family like for this dataset: SPEC <-

Hello I have a problem when fitting a mixed generalised linear model with the lmer-function in the Matrix package, version 0.98-7. I have a respons variable (sfox) that is 1 or 0, whether a roe deer fawn is killed or not by red fox. This is expected to be related to e.g. the density of red fox (roefoxratio) or other variables. In addition, we account for family effects by adding the mother

Hi, I am trying to match the order of the rownames of a dataframe with the rownames of another dataframe (I can't simply sort both sets because I would have to change the order of many other connected datasets if I did that): Also, the second dataset (snp.matrix$fam) is a snp matrix slot: so for example: data_one: x y

Hi, I want to randomly pick 2 fish born the same day but I need those individuals to be from different families. My table includes 1787 fish distributed in 948 families. An example of a subset of fish born in one specific day would look like: >fish fam born spawn 25 46 43 25 46 56 26 46 50 43 46 43 131 46 43 133 46 64 136 46 43 136 46 42 136 46 50 136 46 85 137 46 64 142 46 85 144 46 56

Dear R users I have built the following model m1<-lmer(y~harn+foodn+(1|ass%in%pop%in%fam),family = "quasibinomial") where y<-cbind(alive,dead) where harn and foodn are categorical factors and the random effect is a nested term to represent experimental structure e.g. Day/Block/Replicate ass= 5 level factor, pop= 2 populations per treatment factor in each assay, 7 reps

This is a simple problem, but a mystery to me. I'm trying to grab $Family "Scelionidae" from one dataframe and put it into another dataframe occupied with NA in $Family. The result is a "158" ends up there instead of Scelionidae. Simply put fam$Family[1] <- least$Family[1] If I have made a mistake here, can somebody point it out. I've included the simple

Hi, I'm having some odd problems with samba in combination with fam. On my linux system I have mounted some partitions that are shared by a Win2k machine on my LAN. With any GUI filemanager using fam I can create files and directories, but I can't delete directories, only files. If I try to delete a directory, it just doesn't work. If I try to delete a directory containing files,