similar to: hist density...

[this message needed manual improvement by the mailing list administrator since it was `HTMLified' .. ``please do not''] Apologies for bothering you about a fairly trivial matter. I have been getting some inconsistencies with the display digits in R V1.5. I have been using the hypergeometric distribution function, and have found that when printing out the results from this

I'll appreciate if some one can help me with the following loop. This is the logic of the loop, if we have the following data; > x.df x.dif . . . . 102 0.00 103 0.42 104 0.08 105 0.00 106 0.00 107 0.00 108 -0.16 109 -0.34 110 0.00 111 -0.17 112 -0.33 113 0.00 114 0.00 115 0.00 116 0.33 117 0.17 118 0.00 . . . . I'm trying to find i's where for (i

Has anyone seen the following error before? "error on enabled probe ID 2 (ID 473: sdt:unix:av_dispatch_autovect:interrupt-complete): invalid address (0x198) in action #3 at DIF offset 20" I''m trying to capture interrupt times as inlined in the below script. The script gives me some output after the errors, and I''m trying to understand if the errors are affecting

Dear useRs, I want to write a function that generates all the possible combinations of diff(). Example: If my vector has length 5, I need the diff() until lag=4 -> c(diff(my.vec), diff(my.vec, lag=2), diff(my.vec, lag=3), diff(my.vec, lag=4)) If it has length 4, I need until lag=3 -> c(diff(my.vec), diff(my.vec, lag=2), diff(my.vec, lag=3)) So, it must be until lag=(length(my.vec)-1).

Hi, In Solairs Dtrace User Guide, page 193, it lists the arguments of ERROR probe. One of these arguments is arg3, it is explained as "The DIF offset into that action or -1 if not applicable". Then what does the abbr. DIF mean? Regards TJ

Hi all, I am using "lm" to fit some anova factor models with interactions. The default setting for my unordered factors is "treatment". I understand the resultant "lm" coefficients for one factors, but when it comes to the interaction term, I got confused. > options()$contrasts unordered ordered "contr.treatment"

R glmmADMB question I am trying to use glmm.admb (the latest alpha version from the R forge website 0.6.4) to model my count data that is overdispersed using a negative binomial family but keep getting the following error message: Error in glmm.admb(data$total_bites_rounded ~ age_class_back, random = ~food.dif.id, : Argument "group" must be a character string specifying the

Hi, I have a data.frame that contains a variable act which records the duration (in seconds) of two states (wet-dry) for several individuals (identified by Ring) over a period of time. Since I want to work with daytime (i.e. from sunrise till sunset) and night time (i.e. from sunset till next sunrise), I have to split act from time[i] till sunset and from sunset until time[i+1], and from time[k]

Anyone knows hat might be the cause of this error? Thanks for any help! >library(MASS) > dif.mns = function(x2,tr1=.2,tr2=.3){ + #generates four different 'means' using + #difference scores from x2, an n x 2 matrix + #for use w/ bootstrap comparisons + diffs = apply(x2,1,diff) + mn1=mean(diffs) + mn2=mean(diffs,tr=.2) + mn3=mean(diffs,tr=.3) +

I have a semi working 32-bit build of Samba 4.11.0 for Windows based on a patched Cygwin 2.5.2 build. I wondered if anyone knows where a set of DIF files to move it from release 4.11.0 to the latest stable release of 4.19.x (or through each intervening release to that point) could be obtained. I would like to apply changes incrementally to this build to avoid breaking the current work I have in

Okay first off here''s the error: You have a nil object when you didn''t expect it! You might have expected an instance of Array. The error occured while evaluating nil.- Here''s the code in the model: def highest_bid @bid = nil @oldbid = 0 self.bids.each do |bid| if @bid == nil @bid = bid.max else if bid.max > @bid @oldbid,@bid =

07.12.2023 22:22, David Bean via samba ?????: > I have a semi working 32-bit build of Samba 4.11.0 for Windows based on a patched Cygwin 2.5.2 build. I wondered if anyone knows where a set of DIF files to move it from release 4.11.0 to the latest stable release of 4.19.x (or through each intervening release to that point) could be obtained. I would like to apply changes incrementally to this

I am interested in using "multcompLetters" after running "kruskalmc" but I'm a newbie and I'm not having luck figuring it out. I can run "kruskalmc" just fine, but after studying the documentation for "multcompletters" for a long time, I cannot figure out how to make it work. Any ideas? R input is below > >> #here is my data set >>

Hi All, ? I am trying to use the lordif package in R and can't figure out the reason for the above error when I try to run the calctheta() function. ################## # read data using foreign package - must be Stata 11 or earlier racedata<- read.dta("race.dta")??? # item responses resp.data<-racedata[,-c(1:2)] # grouping variable is in the second column

Hello, I have some trouble using step() and stepAIC() functions. I'm predicting recruitment against several factors for different plant species using a negative binomial glm. Sometimes, summary(step(model)) or summary(stepAIC(model) does not select the best model (lowest AIC) but just stops before. For some species, step() works and stepAIC don't and in others, it's the opposite.

Dear list, I'm trying to do a loop where I should choose a cell of a data frame comparing it with another. The code actually works for the majority of the loop but for some reason it doesn't and I can't figure out why. When I tried to understand why I've noticed this: > dif[11] [1] 118.8333 > linhasUpdate[10,6] [1] 118.8333 > dif[11]==linhasUpdate[10,6] [1] FALSE Even

Hi, I ran a d-program with syscall::open:entry probe but got the following error messages sometimes: dtrace: error on enabled probe ID 1 (ID 14: syscall::open:entry): invalid address (0xff34e000) in predicate at DIF offset 76 dtrace: error on enabled probe ID 6 (ID 14: syscall::open:entry): invalid address (0xff34e000) in predicate at DIF offset 28 I don''t know how to interpret these

Hi my friends, I'm very new to R and need your help. I used R and ltm package for item response theory (IRT) modeling. I also need to compute differential item function (DIF) for IRT models. I searched the archive but basically found nothing. Could you help me find some sources about handling DIF of IRT? Many thanks in advance! Feng

Hi, I am trying to bootstrap the difference between each parameters among two non linear regression (distributed loss model) as following: # data.frame > Raies[1:10,] Tps SolA Solb 1 0 32.97 35.92 2 0 32.01 31.35 3 1 21.73 22.03 4 1 23.73 18.53 5 2 19.68 18.28 6 2 18.56 16.79 7 3 18.79 15.61 8 3 17.60 13.43 9 4 14.83 12.76 10 4 17.33 14.91 etc... # non

Hi Guys, stumped by a simple problem. I would like to take a file of the form Pair group param1 1 D 10 1 D 10 1 R 10 1 D 10 2 D 10 2 D 10 2 D 10 2 R 10 2 R 10 etc.. and for each pair, calculate the average of