similar to: passing an argument to a function which is also to be a dataframe column name

Hi, I have a question about how to obtain the union of several data frame rows. I'm trying to create a common key for several tests composed of different items. Here is a small scale version of the problem. These are keys for 4 different tests, not all mutually exclusive: id q1 q2 q3 q4 q5 q6 1 A C 2 B D 3 A D B 4 C D B D I would like

----- Original Message ----- From: "Silvano" <silvano at uel.br> To: <r-help at r-project.org> Sent: Thursday, June 30, 2011 9:07 AM Subject: Tables and merge > Hi, > > I have 21 files which is common variable CODE. > Each file refers to a question. > > I would like to join the 21 files into one, to construct > tables for each question by CODE. >

Hello, I have a table (1) of the form q1 q3 q4 q8 q9 A 5 2 0 1 3 B 2 0 2 4 4 I have another table (2): q1 q2 q3 q4 q5 q6 q7 q8 q9 C 10 7 4 2 6 9 3 1 2 I would like to divide the numbers in table (1) by the number of the appropriate column in table (2): q1 q3 q4 q8 q9 A 5/10 2/4 0/2 1/1 3/2 B 2/10 0/4 2/2 4/1 4/2

R- Help Forum Working with the "likert" package and I can't figure out why my "bar" graphs are backwards (see attached). The percentages are place correctly but the bars are backwards. #Sample code # libraries library(likert) # create data band <- c("Band 3","Band 3","Band 3","Band 3","Band 3","Band

> Yes! It works! I tried mono 8kbit 8khz Q3 and it seems to work! I am > currently talking to a friend, both ends using Speex! > Sound Quality is not as good as speeak freely@adpvm, but it uses only > quarter of bandwidth and for that the quality is not bad. Perhaps I'll > try Q4, as well. Q4 and Q3 seem to produce the same results. Internally speex is controlled by tables

R- Help Forum Working with the "likert" package and find that my "bar" graphs are backwards (see attached) > summary(results) Item low neutral high mean sd 4 Q4 5 15 80 2.75 0.5501196 5 Q5 20 40 40 2.20 0.7677719 1 Q1 65 30 5 1.40 0.5982430 3 Q3 5 90 5 2.00 0.3244428 2 Q2 90 10 0 1.10 0.3077935

Dear all, I like the way the Rcmdr package computes reliability. E.g reliability(cov(d[,c("q1", "q2", "q3", "q4", "q5", "q6")], use="complete.obs")) will not only give me the alpha score, but also for each variable, alpha.score if deleted. However - when writing scripts it's very tiresome to load the whole Rcmdr GUI just

I currently have a data frame whose rows correspond to each student and whose columns are different variables for the student, as shown below: Lastname Firstname CATALOG_NBR Email StudentID EMPLID Start 1 alastname afirstname 1213 *@uark.edu 10295236 # 12/2/2008 2 anotherlastname anotherfirstname 1213 **@uark.edu ## 10295236 9/3/2008 Xattempts Q1

Hi, > I can't tell why. Try to register mode 8kHz Mono mode Q3 or Q4 for Ok, I will try it. I tried 16kHz Q3 mono at 9,8kbit. > and upwards use 2 frames. All this is defined in codec.c in the > QualityInfo[] table. Oh OK. I looked a bit in the sources, but it was too confusing for me. ;-) > I would be interested in seeing the code for registering the Speex codec > with

Dear List, I have spent some time playing around with oscap and the RHEL OVAL feed (https://www.redhat.com/security/data/oval/v2/RHEL8/, also check Chapter 16 of the RHEL 8 Design Guide). Because I could not find an existing OVAL file for CentOS, I downloaded one of the RHEL8 files and managed to modify (eg. the rhel-8.1-e4s.oval.xml) it to make it work on a CentOS machine. Basically I just

Maybe a dumb question (I admit I haven't followed this thread very closely)... But why are you writing a new FTS driver? If squat allegedly does everything you need it to do, why don't you just take that plugin and fix it up to do what you need? That seems way easier than trying to create a FTS driver from scratch. michael > On January 7, 2019 at 7:05 AM Joan Moreau via dovecot

Hello - I upgraded from FC4 to FC6. My samba configuration (samba 3.0.1x) was working just fine until I upgraded to FC6 and Samba 3.0.24. I had shares who where protected and only some users and groups can access them. I used valid users = @wireless, where the group wireless had 10 users. Before the upgrade this was working just fine. Now nobody from @wireless group members can access the

This is my first post to R-help and I look forward receiving some advice for a novice like me... I?ve got a simple repeated (4 periods so far) 10-question survey data that is very easy to work on Excel. However, I?d like to move the compilation to R but I?m having some trouble operating on count list data in a neat way. The data C > str(C) 'data.frame': 551 obs. of 13

I've been trying to get a basic 5 question IVR survey working in an AGI script, and am having trouble with the SQL portion not updating the table. When I take out all the AGI references, and run just the perl script, the table updates with no problem(DBname,username,password have been substituted in this example for the actual values): #!/usr/bin/perl # # use DBI; $DATETIME =

From: Jyri Sarha <jsarha at ti.com> I optimized Speex resampler for NEON capable ARM CPUs. The first patch should speed up resampling on any platform that can spare the increased memory usage. It would be nice to have these merged to the master branch. Please let me know if there is anything I can do to help the the merge. The patches have been rebased on top of master branch in

From: Jyri Sarha <jsarha at ti.com> Also adds inline asm implementations of WORD2INT(x) macro for fixed and floating point. --- libspeex/resample_neon.h | 101 ++++++++++++++++++++++++++++++++++++++++++++++ 1 files changed, 101 insertions(+), 0 deletions(-) diff --git a/libspeex/resample_neon.h b/libspeex/resample_neon.h index ba93e41..e7e981e 100644 --- a/libspeex/resample_neon.h +++

I have end of semester teaching evaluation data of the following form: > head(evaluations) Course Prefix Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 1 2330301 2 4 3 3 3 4 4 1 2 5 4 1 1 1 1 2 2330301 2 3 3 3 3 3 5 1 2 5 8 1 1 1 1 3 2330301 2 4 4 3 3 4 4 2 2 5 9 1 1 1 1 4 2330301 2 2 1 1 3 4 5 1 2 5 8

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

R Experts, I have a dataframe made up of character vectors--these are results from survey questions. I need to convert them to factors. I tried the following which did not work: scs2<-sapply(scs2,as.factor) also this didn't work: scs2<-sapply(scs2,function(x) as.factor(x)) After doing either of above I end up with >str(scs2) chr [1:10, 1:10] "very important" "very

Hi there ! I checked Vorbis' performace for mono files at approx. 64-80 kbps (it does a good job) and I'm wondering why the current OggEnc still uses Point-Stereo (>10kHz) for -q4 and -q5 I know, we're usually unable to percieve those phase correlations above 10 kHz, But a Dolby Prologic Decoder isn't. I think a future version of OggEnc which is able to use a user-selectable