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Further to the discussion between Murray Jorgensen and Brian Ripley, it seems to me better to choose tabulations that will not come and bite you. Suppose your data are sligtly irregular, e.g. (for the sake of the argument): data( warpbreaks ) warpbreaks$variant <- rep( 1:5, len=54 ) attach( warpbreaks ) tb <- table( wool, tension, variant ) tb # in this case you would like to see: tp

Further to the discussion between Murray Jorgensen and Brian Ripley, it seems to me better to choose tabulations that will not come and bite you. Suppose your data are sligtly irregular, e.g. (for the sake of the argument): data( warpbreaks ) warpbreaks$variant <- rep( 1:5, len=54 ) attach( warpbreaks ) tb <- table( wool, tension, variant ) tb # in this case you would like to see: tp

Hello, I teach statistics and use R Commander for teaching. I have 2 students out of 169 that can't get scatterplots or plot to work. I have had them update packages, restart R/R Commander/their computers and even reinstall R/R Commander. One is using Windows 7 on a new pc and the other is a pc user (not sure the OS). They are both using R2.11.1 and R Commander 1.6-0. The data look like

Dear R Users, close to the end of this I used wireframe to create a 3D plot from a matrix. The x and y axis tick labels (1-6) for each were created from the matrix being a 6X6 matrix. I need the axis tick labels to be the row and column headings which you can see in the output (mat.x). I have tried several work arounds, but they have not been successful. Thanks in advance. keith rm(list=ls())

Let me first say I'm new to R and new to this mail list, so I apologize ahead if this issue has already been discussed here. The dynamic memory allocation of 1.2.0 seems to be an improvement over the static allocation of 1.1.1. However, I have run across at least one case where the dynamic allocation might be corrupting my results. I am interested in calculating the 95% confidence margins of

Hi! This is the weirdest problem I have found for a long time! Using nut-2.0.5 and a Gentoo powered HP Proliant ML350 I setup the config files just the same as I always do and tried to get the megatec driver chatting to the UPS. It worked fine on a Windoze server with Upsilon2000 so I have a bit of confidence in cable etc! When I ran upsc after starting upsd to complained about stale data! Most

I have a simple vector, called tmp that I want to subset based on another vector called vec. Everything works as expected except for below where the subsetting returns something other than the original data. Any ideas? > vec <- c(1,2,3,4,5,59,60,27,32,21) > tmp [1] 1.0 1.1 2.0 2.1 2.2 3.0 3.1 4.0 5.0 5.1 6.0 7.0 8.0 8.1 9.0 [16] 9.1 9.2 10.0 10.1 11.0 12.0 13.0 14.0

Dear r-users,   Originally my data is in notepad.  I use data.frame(...) to convert the data into columns but it has no header.  The data below is what I got in R.  I would like to extract these data:   19710629        39.3  19701126  19720629        33.8  19720517 ... when I use data2_30min[1, cbind(1,3,5)] command the result is NULL.   Then I tried data2_30min[1], it gives me the whole set of

Hola Juan. ¿Si yo en vez de querer obtener la media quiero sacar el porcentaje de casos que son menores que la media como lo haría? Saludos, Sebastián. El 17 de septiembre de 2013 03:34, Joan Carmona <jcmld@carmonarocha.com>escribió: > Hola Sebastián, > > Qué tal así:? > > > t<-data.frame(A=c(1,2,3,4,5,6,7,8,9,10),B=c(1,1,2,2,3,3,4,4,5,5),C=c(1,1,1,1 > >

Hello, I am using the lmomco package (lmom.ub and pargev) to compute the GEV parameters (location, scale, and shape), which are used to estimate return values. I was wondering how/if I can calculate upper and lower confidence (CI_u, CI_l) intervals for each return frequency using the GEV parameters to fill-in the table below? Xi (location) = 35.396 Alpha (scale) = 1.726 Kappa (shape) =

Hi All, I have a small dataset named das (43 cases) in which I am trying to create a binary outcome (1/0) based on the following code: if (das$age>65 && das$bmi>30) {das$danger<-1} else das$danger<-0 I am setting a flag called 'danger' to 1 of the subject is over 65 and has a BMI > 30. I find that my statement evaluates the first record in the data.frame and

Dear all How do I access individual elements of a "summary.aov" object? > data(iris) > AnovaModel.1 <- aov(Sepal.Length ~ Species, data=iris) > tmp <- summary(AnovaModel.1) > tmp Df Sum Sq Mean Sq F value Pr(>F) Species 2 63.2 31.6 119 <2e-16 *** Residuals 147 39.0 0.3 --- Signif. codes: 0 '***' 0.001 '**' 0.01

i recently helped a friend of mine migrate from imap-uw using mboxes to dovecot on top of Maildirs and came up against two issues. this is quite embarrassing as ive been claiming dovecot is Solid As A Rock(tm) and hasn't ever given me any issues. 1. if dovecot runs out of file descriptors it will loop forever trying to open new logging pipes. the code in question is at line 624 of

Hi r-users,   I have a data below but I would like to rearrange my data so that it will be in the following format: year, month, day, rain.  I also would like the data to be arranged so that it will be continues for example year 1939 it will go from january 1 to december 31 and continue with year 1940 from january 1st to 31st December and so on.  What I have now is all january for all the years

Hi - I am not R expert and I would appreciate your time if you can help me about my xyplot question. I would like to add text (p-value) in a 4 panels xyplot. I thought panel = function{} should work but I am not sure where I did it wrong. The error message from the following code is "Argument subscripts is missing with no default values" xyplot(GLG ~ PD | factor(TRT) , groups =

I have never been able to get class probabilities to work and I am relatively new to using these tools, and I am looking for some insight as to what may be wrong. I am using caret with kernlab/ksvm. I will simplify my problem to a basic data set which produces the same problem. I have read the caret vignettes as well as documentation for ?train. I appreciate any direction you can give. I

Hi, The below very strange: # a) aov function av <- aov(Sepal.Length ~ Species, data=iris) # Error in parse(text = x) : # unexpected symbol in "Sepal(Sepal.Length+Species)Length" av <- aov(iris[, 1] ~ iris[, 5]) # summary(av) # Df Sum Sq Mean Sq F value Pr(>F) # iris[, 5] 2 63.2 31.6 119 <2e-16 *** # Residuals 147 39.0 0.3 # ---

Estimados: Dentro del aggregate utilice un table, son cuatro los valores que puede tomar la variable, ¿como puedo desarmar la lista y crear cuatro variables nuevas donde le asigne 0 si no se da ese valor? Saludos, Sebastián. El 25 de septiembre de 2013 10:41, Jorge I Velez <jorgeivanvelez@gmail.com>escribió: > Sebastián, > > Una forma es > > aggregate(cbind(X1,X2) ~ B +

Hello zfs-discuss, One of a disk started to behave strangely. Apr 11 16:07:42 thumper-9.srv sata: [ID 801593 kern.notice] NOTICE: /pci at 1,0/pci1022,7458 at 3/pci11ab,11ab at 1: Apr 11 16:07:42 thumper-9.srv port 6: device reset Apr 11 16:07:42 thumper-9.srv scsi: [ID 107833 kern.warning] WARNING: /pci at 1,0/pci1022,7458 at 3/pci11ab,11ab at 1/disk at 6,0 (sd27): Apr 11 16:07:42 thumper-9.srv

Hi there, my HP R1500 G3 UPS doesn't apply my battery.charge.low value i set via upsrw. Is this a common problem with this model in nut 2.6.4? Any ideas how to force the UPS to accept this value? Regards Jan % upsc hp1500 battery.charge: 100 battery.charge.low: 20 battery.charge.warning: 20 battery.runtime: 23917 battery.temperature: 49.0 battery.type: PbAc battery.voltage: 39.0