similar to: Dropping 'empty' panels from lattice

Hi All, I have a dataset with a column named "Condition", Sample Condition 1 c20 2 c20 3 c10 4 c10 5 c9 6 c9 7 c5 8 c5 9 c20 10 c10 Could you let me know the fastest way to change c20->"AA", c20->"BB", c9->"CC", c5->"DD"

Hi, new to R and ggplot2. I've been trying to get a facet plot in which the order of the facets is as I require, rather than ordered numerically, alphabetically, by Roman numerals, mean (answers to these were posted here after much searching). Here's some test code to demonstrate what I get. series = c('C2','C4','C8','C10','C15','C20') ids =

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k

Hi List I'm running a series of mixed models using lme, and I wonder if there is a way to sort them by AIC prior to testing using anova (lme1,lme2,lme3,....lme7) other than by hand. My current output looks like this. anova (lme.T97NULL.ml,lme.T97FULL.ml,lme.T97NOINT.ml,lme.T972way.ml,lme.T97fc. ml, lme.T97ns.ml, lme.T97min.ml) Model df AIC BIC logLik

Hello, I just discovered that I cannot close the Excel application and task manager shows numerous copies of Excel.exe I tried both x$Quit() # shown in the rcom archive and x$Exit() and Excel refuses to die. Thank you very much. S. "You can't kill me, I will not die" Mojo Nixon I also have a problem with saving. It produces a pop-up dialog and does not take my second

The topic of Ra and jit has come up on this list recently (see http://www.milbo.users.sonic.net/ra/index.html) so I thought people might be interested in this little demo. For it I used my machine, a 3-year old laptop with 2Gb memory running Windows XP, and the good old convolution example, the same one as used on the web page, (though the code on the web page has a slight glitch in it). This

1: x86/mwait_idle: remove assumption of one C-state per MWAIT flag 2: x86/mwait_idle: export both C1 and C1E 3: x86/mwait_idle: initial C8, C9, C10 support Signed-off-by: Len Brown <len.brown@intel.com> Signed-off-by: Jan Beulich <jbeulich@suse.com>

Am 25.02.2015 um 22:48 schrieb Miguel Medalha: >> I have searched for this and the solutions I found were for instances >> where the workgroup name *was* too long. However, my workgroup name is >> *not* too long. The spaces between PEGASUS and ^[ are part of the >> message, I did not add them. If you count them there are 16 total >> including ending ^[. I

Hi all, Thanks for Aleksandar Beserminji great job: https://reviews.llvm.org/D50437 It is not easy to reproduce the LLVMBUG-38221[1] by building OpenJDK8, it needs some workaround https://raw.githubusercontent.com/xiangzhai/jdk8u-dev/master/Workaround-compile-with-llvm.patch LLVM toolchain[2] is just able to compile OpenJDK8 for mips64el now: http://hg.loongnix.org/ 1.

Hello, I am hoping someone can help me with the following multivariate issue: I have a model consisting of about 50 covariates. I would like to reduce this to about 5 covariate for the reduced model by combining cofactors that are strongly correlated. Is there a package or function that would help me with this in R? I appreciate any suggestions. Thanks, Ian

I discovered recently that the phrase "Oja median" produces no hits in Jonathan Baron's very valuable R search engine. I found this surprising since I've long regarded this idea as one of the more interesting notions in the multivariate robustness literature. To begin to remedy this oversight I wrote a bivariate version and then decided that writing a general p-variate version

Ultimately my aim is to get a plot of density faceted by 2 factors with a horizontal boxplot overlaid on each density plot in the grid to indicate summary stats. So I've been experimenting with creating boxplots and density plots. Here's some representative data. series = c('C2','C4','C8','C10','C15','C20') ids =

On Thu, Oct 27, 2016 at 05:22:14PM -0700, Jeremy Allison via samba wrote: > > Looking around inside that source code I also see: > > do_read (GVfsBackend *backend, > GVfsJobRead *job, > GVfsBackendHandle handle, > char *buffer, > gsize bytes_requested) > { > GVfsBackendSmb *op_backend = G_VFS_BACKEND_SMB (backend); >

I'm trying to test for the existence of an object within a function, but despite searching the help files and R-list, I can't figure out how to do it. Here is some test code: #------------------------- a=1 #now I have a in the global environment tst <- function(a,b=1) { # but a is not in the local function environment print(exists("a", inherits=FALSE)) #This is how I think

Hi ALL, I have very simple question regarding pattern matching. Could anyone tell me how to I can use R to retrieve string pattern from text file. for example my file contain following information SpeciesCommon=(Human);SpeciesScientific=(Homo sapiens);ReactiveCentres=(N,C,C,C,+ H,O,C,C,C,C,O,H);BondInvolved=(C-H);EzCatDBID=(S00343);BondFormed=(O-H,O-H);Bond+

I have come across three problems in the past few days, in spell of heavy R ( version R0.50-a4/Sun Solaris2.5.1 ) use. 1. I was using lwd=2 to get thicker lines on plots for printing, but although the 'lwd' parameter works fine with x11(), the thickened lines do not print with print.plot, or by using postscript() directly. 2. Try the following, plot(1:10, -(1:10))

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On certain webservers these appear to go beyond even 600 seconds (10 minutes). --- v2v/input_libvirt_vcenter_https.ml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/v2v/input_libvirt_vcenter_https.ml b/v2v/input_libvirt_vcenter_https.ml index 01a6c89..c6b9a1f 100644 --- a/v2v/input_libvirt_vcenter_https.ml +++ b/v2v/input_libvirt_vcenter_https.ml @@ -250,7 +250,8 @@ let

I have following codes for ggplots. The legends are given in the plot do not match with the values specified in the codes given below. Your helps highly appreciated. Greg library(ggplot2) p <- ggplot(a,aes(x=NO_BMI_FI_beta ,y=FI_beta ,color= Super.Pathway))+ theme_bw() +theme(panel.border=element_blank()) + geom_point(size=3) p2<-p+scale_color_manual(name="Super.Pathway",

I am trying to code the following excel formula in R. a b c Result Formula 1 10 0.1 #N/A IF(B2<20,NA(),C2+IF(ISERROR(D1),0,D1)) 2 20 0.2 0.2 IF(B3<20,NA(),C3+IF(ISERROR(D2),0,D2)) 3 30 0.3 0.5 IF(B4<20,NA(),C4+IF(ISERROR(D3),0,D3)) 4 40