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Hello there, My name is Lisa and I'm doing analysis using genelized linear model-GEE model because I have some repeated measurements on the same patients (in a bilateral eye disease case). It would be very appreciated if you could shed some light on what function to use in R. Thank you very much Lisa Wang Msc. Toronto,Ca

Hi, there! When my XP users try to change passwords, they get a message saying that password has been changed. That's not true! NT and LM passwords are changed but unixPassword isn't. Look at this openldap.log lines: Feb 12 07:50:28 apolo slapd[22826]: conn=698021 op=40 MOD dn="uid=teste,ou=Users,dc=domain" Feb 12 07:50:28 apolo slapd[22826]: conn=698021 op=40 MOD

Dear All, Writing sooner than I thought I'd need to. I'm using R 2.4 on Mac OS X, with RODBC, PostgreSQL 8.1 and Actual's ODBC driver. I have all my data in Filemaker 8.5, but it is automatically exported into PostgreSQL for analysis as Filemaker's ODBC and JDBC access is awful, slow and has a tendency to crash. I have disability data where for each patient there is a survival

I have data on current and previous location of individuals. I would like to have a matrix with bilateral movement between locations. I would like the final output to look like the second table below. I have tried using crosstab() from the ecodist but I do not have another variable to measure the flow. Ultimately I would like to compute the probability of movement between cities (movement to

Dear William and Ben, Thank you for your replies and elegant solutions. I am having trouble with the fact that two of the previous locations do not appear in current locations (that is no one moved to OKC and Dallas from other cities), so these two cities are not being included in the output. I have provided a better sample of the data and the ideal output (wide form - a 10x10 bilateral matrix)

Dear Miluji, If I understand correctly, this should get you what you need. temp1 <- structure(list(id = 101:115, current_location = structure(c(2L, 8L, 8L, 3L, 6L, 5L, 1L, 2L, 7L, 4L, 2L, 8L, 8L, 3L, 6L), .Label = c("Austin", "Boston", "Cambridge", "Durham", "Houston", "Lynn", "New Orleans", "New York"), class =

xtabs does this automatically if your cross classifying variables are factors with levels all the cities (sorted, if you like): > x <- sample(letters[1:5],8, rep=TRUE) > y <- sample(letters[1:5],8,rep=TRUE) > xtabs(~ x + y) y x c d e a 1 0 0 b 0 0 1 c 1 0 0 d 1 1 1 e 1 1 0 > lvls <- sort(union(x,y)) > x <- factor(x, levels = lvls) > y <-

or in base R : ?xtabs ?? as in: xtabs(~previous_location + current_location,data=x) (You can convert the 0s to NA's if you like) Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Tue, May 8, 2018 at 9:21 AM, Huzefa

Dear Bert and Huzefa, Apologies for the late reply, my account got hacked and I have just managed to recover it. Thank you very much for your replies and the solutions. Both work well. I was wondering if there was any way to ensure (force) that all possible combinations show up in the output. The full dataset has 25 cities but of course people have not moved from Boston to all the other 24

Hello useRs, A new package, IndexNumR, has been released on CRAN. IndexNumR provides a set of functions for computing various bilateral and multilateral indices. It is designed to compute price or quantity indices over time. Bilateral indices include Laspeyres, Paasche, Fisher, Tornqvist, Sato-Vartia, Walsh and CES, as well as elementary indices Dutot, Carli, Harmonic mean, CSWD and Jevons. All

Hello useRs, A new package, IndexNumR, has been released on CRAN. IndexNumR provides a set of functions for computing various bilateral and multilateral indices. It is designed to compute price or quantity indices over time. Bilateral indices include Laspeyres, Paasche, Fisher, Tornqvist, Sato-Vartia, Walsh and CES, as well as elementary indices Dutot, Carli, Harmonic mean, CSWD and Jevons. All

On Jan 16, 2019, at 1:33 AM, David Chisnall via llvm-dev <llvm-dev at lists.llvm.org> wrote: > On 15/01/2019 21:56, Manuel Jacob via llvm-dev wrote: >> Sometimes people complain that ABI handling in the frontend is hard and that they have to duplicate (in their language’s frontend) what Clang does. However, I don’t think that pushing more of this complexity into LLVM would be a

You can use the graphics parameter "srt" to rotate displayed text by a specified number of degrees, e.g. srt=45 to put it on an angle, srt=90 to put it vertical. If you do this, may need to modify the call to text to increase ylim and change the plot location to give you more room. I'm working to update the 'balloonplot' function in the gregmisc package now to handle this

I've just uploaded gregmisc_0.8.2.tar.gz to CRAN. It should show up in the package repository in a day or two. This version of the gregmisc package provides an enhanced 'balloonplot' function with 'rowsrt', 'colsrt' arguments to control rotation of the labels, and 'rowmar', 'colmar' to control the amount of space reserved for the labels. Here's

Hola Compañeros, Estoy tratando de "contar" utilizando la función tapply y length y obtengo un error que no entiendo. Agradecería su ayuda. Las líneas son las siguientes: UNO <- subset (datos, CRIH2008 == "VERDADERO") dim (UNO) Abund2008 <- tapply (UNO$Cons, list(UNO$Site, UNO$Trat), length, na.rm=T) Y obtengo este error: Error en FUN(X[[1L]], ...) : 2 arguments

Hi, I'm using samba 3.0.0 under redhat 9.0. Quota is assinged to user but they can't see their used space on windows explorer. The used space reported is only 8.0k, no matter what they have in ther home. I used the samba rpm downloaded from samba site. For a smbd -b command i get this (extract): --with Options: WITH_ADS WITH_PAM WITH_QUOTAS WITH_SENDFILE WITH_SMBMOUNT

Ahh yes, sorry about that. Here's the corrected snippet: # Create an Example Data Frame Containing Car x Color data carnames <- c("bmw","renault","mercedes","seat") carcolors <- c("red","white","silver","green") datavals <- round(rnorm(16, mean=10, sd=4),1) data <- data.frame(Car=rep(carnames,4),

Buenos días a todos, Una pregunta muy sencilla, podrían por favor informarme dónde puedo conocer el significado de símbolos como $, %, == que se utilizan frecuentemente en R? Gracias, Angela C. ---- *Angela Andrea Camargo Sanabria* Estudiante Doctorado en Ciencias Biológicas Laboratorio de Ecología de poblaciones y comunidades tropicales Centro de Investigaciones en Ecosistemas (CIEco) UNAM,

Normally `codes' is not the appropriate function to use with an unordered factor. Use `unclass' or `as.numeric' to extract the codes used in the internal representation of the factor, as these do not assume that the codes are sorted. and this is one of the `normally' cases. Your code will only work correctly if the levels are in alphabetical order (in the locale

Quisiera intercambiar ideas con aquellos que lo hayan utilizado. Muchas gracias y bonito día! ---- *Angela Andrea Camargo Sanabria* Estudiante Doctorado en Ciencias Biológicas Laboratorio de Ecología de poblaciones y comunidades tropicales Centro de Investigaciones en Ecosistemas (CIEco) UNAM, campus Morelia Antigua Carretera a Pátzcuaro # 8701 Col. Ex-Hacienda de San José de la Huerta, CP 58190