similar to: package MICE, squeeze function, calling several variables at once

Hello R users! I have several data frames where some of the variables have many missing observations. For example, Q1 in one of my data frames has over 66% of its observations missing. I have tried imputation with mice but it does not work for all the data frames and I get the following message or a similar message to this: iter imp variable 1 1 Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11

Hello R Users! I have a data frame that has many variables, some with missing observations, and some that are correlated with each other. I would like to subset the data by dropping one of the variables that is correlated with another variable that I will keep int he data frame. Alternatively, I could also drop both the variables that are correlated with each other. Worry not! I am not deleting

Dear R users, I am using package mice and I am getting the error " Error in if (meth[j] != "") { : argument is of length zero." I have tried using several different versions of R (even the one that will be coming out this month) to no avail. I am using RStudio as my interface with R. Also note that I had run this a couple of days ago and it was working fine; I can't,

Dear List Members,I have 55 data frames, each of which with 272 variables and 267 observations. Some of these variables are blanks but the blanks are not the same for every data frame. I would like to write a procedure in which I import a data frame, see which variables are blank, and delete those variables. My data frames have variables named P1 to P136 and Q1 to Q136. I have a couple of

Hi everybody, as you may be aware the function augPred.lme does not work as soon as the covariate is a factor. The problem lies in the line newprimary <- seq(from = minimum, to = maximum, length.out = length.out) which does not make sense for factors. I think augPred.lme can be useful for models with a factor covariate as well. Thus, I propose to change the code to: augPred.lme <-

I'm new to R and not an experienced writer of programs, which may help explain my question. I wish to create a table or data frame which contains the quantiles of the columns in the data frame DF. I wish to produce a table T where T[1] shows me the quantiles of column DF[1] right up through the entirety of DF. Tried several approaches with limited success. This looked like the best

In the hope for some help, I would like some hint on how to diagnose the following single subunit: samba3.blackbox.smbclient_machine_auth.plain In particular the single test samba3.blackbox.smbclient_machine_auth.plain (s4member:local)(s4member:local) Results attached, run is from git at 'origin/v4-10-stable' Thanks in advance (This is because in my full selftest almost all failures

Thanks for the reply, Besides the problem with source4/lib/messaging/messaging_handlers.c, Good to hear that selftest is actively used, then do I understand it right that 'make test' should succeed? My bigger problem is that it failed with lots of errors. This must be a problem with my build, then, but since this is a fresh tarball I am a bit puzzled. I would appreciate some hint on

Already outdated, but rounded ;) I literally just opened the 5yrs logo, changed the text and then done: inkscape -z -o logo/fish-10yrs.{png,svg} cp {logo,website}/fish-10yrs.svg and then updated the rest of the files. Signed-off-by: Martin Kletzander <mkletzan@redhat.com> --- Makefile.am | 2 + logo/fish-10yrs.png | Bin 0 -> 65790 bytes logo/fish-10yrs.svg |

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++