similar to: nlme for groupedData with inner and outer factors

Hi all, I have managed to create a figure on the screen with multiple plots in it. Something like the example below. When I save that with ggsave(), only the last plot gets saved (pPath in the example) instead of the entire figure. Any suggestions how I can save this kind of figures automated? Thanks, Thierry library(ggplot2) pPoint <- qplot(unemploy/pop, psavert, data=economics) pPath

I'm a newbie to LLVM and I've really been struggling to write a pass which changes the behavior of the following function: #include<stdlib.h>#include<stdio.h>#include<string.h>void foo(char* bar){const char* path;path=getenv(<SOME_ENV_VAR>); if (path!=NULL){strcpy(bar,path);}else{printf("env_var not set!");}} In the pass, I hope to invoke

Rather then implementing kafs in MIT Kerberos, I would like to suggest an alternative which has advantages to all parties. The OpenSSH sshd needs to do two things: (1) sets a PAG in the kernel, (2) obtains an AFS token storing it in the kernel. It can use the Kerberos credentials either obtained via GSSAPI delegation, PAM or other kerberos login code in the sshd. The above two

Hi all, I have setup samba / openldap as describes by the idealx howto and as such I am using the smbldap-tools. However, I would like to add the givenname and email address fields for all users. What is the best way to do this? I would prefer continuing to use the smbldap-tools, but I cannot seem to find a good way to do this. When I try to: $ smbldap-usermod -M testuser@testdomain.net

Dear John You are only allowed to have the primary covariate on the left hand side of the vertical bar. Other covariates go in inner or outer. Michael On 22/03/2018 12:59, Sorkin, John wrote: > Windows 10 64-bit, R-Studio, R version 3.4.3 > > > Several questions relating to groupedData: > > (1) I am trying to create a groupedData object that can be used to run an analysis

PHRASE QUERY Xapian::Query((MBOX:12345678-1234-1234-1234-1234567890ab AND (LP:backup:(pos=1) PHRASE 6 LP:c::(pos=2) PHRASE 6 LP:program files:(pos=3) PHRASE 6 LP:Mozilla Firefox:(pos=4) PHRASE 6 LP:res:(pos=5) PHRASE 6 LP: table-add-column-after-hover.gif:(pos=6)))) AND QUERY Xapian::Query((MBOX:12345678-1234-1234-1234-1234567890ab AND LP:backup:(pos=1) AND LP:c::(pos=2) AND LP:program

Windows 10 64-bit, R-Studio, R version 3.4.3 Several questions relating to groupedData: (1) I am trying to create a groupedData object that can be used to run an analysis that I have been able to urn using lmer. When I include the interaction terms in the groupedData opbject I get an error message stating that + is not meaningful for factors. How do I include factors in my model? See code and

This patch series introduces the VHD library. It is based on the blktap2 one, with changes coming from the blktap2.5 one. Signed-off-by: Thanos Makatos <thanos.makatos@citrix.com>

Gentlemen, I have a new HID USB device, that seems to be quite similar to the currently supported APC HID UPS. I append the dump-tree output, and would much appreciate advice on how to proceed. Certain entries for the current device are not available, but maybe there are some replacements that could be used. This may of course require a new table in apc-hid.h, and I would prefer not to do this

I'm trying to set up a mixed model to solve using lme. It will have 3 fixed effects, two random effects and two interaction terms. I've been reading Pinheiro's and Bates's book on the nmle library, but find the part about display functions to be unclear. When creating a groupedData object from a data.frame, you need to enter a function of the form: response ~primary|grouping

Hi, Does anyone know how to make the color of the lines all black when plotting groupedData with an outer factor: For example, library(nlme) plot(Dialyzer, outer=~QB, key=F) This generated colored curves in R.2.4.1. How to make all the curves black ? (or how to alter the color (type) of lines for the nlme groupedData plotting function in general?) Thanks Qiong

Dear all, I tried to create a groupedData object, where the grouping factor is not ordered. Here ist the code: library(nlme) test<-groupedData(conc~Time|Subject,order.groups=F,data=as.data.frame(Theoph)) > getGroups(test) Levels: 6 < 7 < 8 < 11 < 3 < 2 < 4 < 9 < 12 < 10 < 1 < 5 I still get an ordered factor. As always thanks for your help peter

help.search("groupedData") says that it's part of the lme4 package, but it appears not to be there (details below). Is this because lme4 is new and (perhaps) still under development? > update.packages() trying URL `http://cran.r-project.org/bin/windows/contrib/1.9/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 19113 bytes opened URL downloaded 18Kb >

I am trying to create a plot similar to Figure 3.2 in Bates and Pinheiro. I have repeated measurements on about 80 subjects from 2 treatment groups. I would like to have the panels for the two treatment groups in separate groups and within those groups have the panels ordered on maximum value (as is the default). I am ok with getting plots similar to Figs 3.1 and 3.2, but can't see how to

Dear R users, I have the following code: ---------------------------------------- require(nlme) myfunc <- function(data, n, m, maxIter = 3){ working <- groupedData(formula = y~x|id, data=data) val <- NULL r <- 0 while(r < maxIter){ new.data <- data.frame(x=rnorm(n),y=rnorm(n),id=rep(1:n,each=m)) working <- update(working, data = new.data) # val <- some

Dear All, I would be grateful if you can tell how can I suppress the legend (automatically created) when I plot a groupedData. suppose that I have data farme df_0 which contains the following columns: ID represents the clusters, t represents time of observation, Y: the variable of interest and X a binary covariate. Then: df_1 <- groupedData(Y ~ t | ID) plot(df_1,

Dear Friends, Is there a workaround to this problem or must the object plotted by plot(augPred(object, ...)) be a grouped object? score <- c(108, 103, 96, 84, 118, 110, 129, 90, 84, 96, 105, 113, 96, 117, 107, 85, 125, 107, 128, 84, 104, 100, 114, 117, 110, 127, 106, 92, 125, 96, 123, 101, 100, 103, 105, 132, 122, 133, 107, 99, 116, 91, 128, 113, 88, 105, 112, 130) mcc

Hello all, I am plotting a groupedData object and the key at the top of the graph runs off the page. I don't want to set key=F because it is useful (or would be if I could see it). Is it possible to explicitly cause the key to wrap? I have used this function before with no trouble but now I have just 5 groups with rather long descriptions (which I can't meaningfully shorten).

I am trying to fit a formula to my data, but I just can't find the right way to do it. My experiment consists of manipulating FRUITS and VEGETATION to two levels each(intact or removed) on 12 experimental plots. This leaves me with 4 treatment combinations Fruit intact Vegetation removed Fruit int. Veget int. Fruit rem. Veget rem. Fruit rem. Veget. intac those treatements are distributed

Hi, I'm trying to plot a grouped data object for modelling maximum branch size by distance from stem apex: >MAXBRD.group <- groupedData(MAXBRD ~ Dtop | Type/Site/Tree, inner=~Status, data=MAXBRD.data). The following code produces a plot of MAXBRD ~ Dtop for each site type: >plot(MAXBRD.group, collapse=1, display=1, aspect=1.2, pch=20, inner=~1, main="MAXBRD with