similar to: getting variables based on name

i have a series of regressions i need to run where everything is the same except for the dependent variable, e.g.: lm(y1 ~ x1+x2+x3+x4+x5, data=data) lm(y2 ~ x1+x2+x3+x4+x5, data=data) lm(y3 ~ x1+x2+x3+x4+x5, data=data) is it possible to run all these regs with a single command? given that the bulk of the work for linear regressions is inverting a matrix that depends only on the independent

i am trying to duplicate R's computation of standard errors but having some trouble. i loaded some data into R and ran summary(lm(y~x1+x2+x3+0, data=data)), but i am not sure how the "Std. Error" values are computed. let y be the nx1 vector of dependent variables and X be the nx3 matrix of independent variables. let T(.) denote the transpose of a matrix/vector, and let I(.) denote

I would like to perform a regression like the one below: lm(x ~ 0 + a1 + a2 + a3 + b1 + b2 + b3 + c1 + c2 + c3, data=data) However, the data has the property that a1+a2+a3 = A, b1+b2+b3 = B, and c1+c2+c3 = C, where A, B, and C are positive constants. So there are two extra degrees of freedom, and R handles this by producing NA for two of the coefficients. Instead, I would prefer to remove the

i have a data frame and a numeric vector indexed as a subset of the rows in the data.frame. what command can i use to assign the values in the vector to the appropriate rows of the data.frame? here's my failed attempt. what i would want is data[1,'z'] == 2, data[5,'z'] == -4, data[8,'z'] == -5, data[9,'z'] == 5, and for the other values of 'z' to

How can I do something like this: <a id=a7 style="cursor: pointer;" onClick = "new Effect.Fade (''li''); Element.show(''a1'',''a2'',''a3'',''a5'',''a6''); onClick = "new Effect.Fade (''rp'');

Dear friends Hope you all are fine. Suppose we have a list of arrays. a1=c(4,4,4,4,0,4,4,4,0,3,3,0,0,0,0,0); a1=array(a1,dim=c(4,4)); a2=c(4,4,4,4,0,4,4,4,0,3,3,0,0,0,0,0); a2=array(a2,dim=c(4,4)); a3=c(4,4,4,4,0,3,3,4,0,4,4,0,0,0,0,0); a3=array(a3,dim=c(4,4)); a4=c(4,4,4,4,4,0,3,3,3,3,0,4,4,4,0,0,0,0,0,0); a4=array(a4,dim=c(5,4)); a5=c(4,4,4,4,4,0,4,4,4,4,0,3,3,3,0,0,1,1,0,0);

We have a wireless network that uses 802.1x authentication, in which domain joined computers use their machine credentials to connect. Windows machines do this automatically, and until recently Linux computers could join using wicd, wpa-supplicant, and a simple script that would retrieve the machine password with tdbdump. ( specifically tdbdump -k SECRETS/MACHINE_PASSWORD/DOMAIN

I was working with the rmetrics portfolioBacktesting function and dug into the code to try to find why my formula with 113 items, i.e. A1 thru A113, was being truncated and I only get 85 items, not 113. Is it due to a string length limitation in R or is it a bug in the strsplit or gsub functions, or in my string? I'd very much appreciate any suggestions ============Input script:

On Fri, Mar 7, 2014 at 2:33 AM, Vieri <rentorbuy at yahoo.com> wrote: > So I take it it's more of a DHCP hack in which: > 1- client boots and gets DHCP response from 10.215.144.7 with PXE syslinux info > 2- client loads pxelinux.0 menu and selects menu that chains to Altiris PXE menu except, instead of calling pxechain.com or pxechn.c32 with the Altiris server's IP address,

Dear R user: I am studying the allele data of two populations. the following is the data: a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 a11 a12 a13 a14 a15 a16 a17 pop1 0.0217 0.0000 0.0109 0.0435 0.0435 0.0000 0.0109 0.0543 0.1739 0.0761 0.1413 0.1522 0.1087 0.0870 0.0435 0.0217 0.0109 pop2 0.0213 0.0213 0.0000 0.0000 0.0000 0.0426 0.1702 0.2128 0.1596 0.1809 0.0957 0.0745 0.0106

Hi, I want to encode Loongson ISA initially https://gist.github.com/xiangzhai/8ae6966e2f02a94e180dd16ff1cd60ac gslbx           $2,0($3,$4) It is equivalent to: dadd $1, $3, $4 lb $2,0($1) I just use  mem_simmptr  as the default value of  DAGOperand MO , because  MipsMemAsmOperand  use  parseMemOperand  to parse general  MemOffset  and only *one*  AnyRegister , for example: 0($1) But 

On Jan 16, 2013, at 10:07 AM, Brad Smith <brad at comstyle.com> wrote: > I was wondering if someone with more familiarity with MC > on X86 could consider looking into adding support for > the hyphenated versions of the VIA Padlock instructions? Take a look at llvm/lib/Target/X86InstrSystem.td perhaps. -- Stephen Checkoway

I was wondering if someone with more familiarity with MC on X86 could consider looking into adding support for the hyphenated versions of the VIA Padlock instructions? If anyone is up for it there are details within these two bug reports.. http://www.llvm.org/bugs/show_bug.cgi?id=8556 http://www.llvm.org/bugs/show_bug.cgi?id=10266 -- This message has been scanned for viruses and dangerous

Hi, You might need to check library(boot).? I have never used that before.? So, I can't comment much.? It is better to post on R-help list.? I had seen your postings on Nabble in the past.? Unfortunately those postings were not accepted in R-help.? You have to directly post at ? r-help at r-project.org after registering at: https://stat.ethz.ch/mailman/listinfo/r-help ?

Hello subscribers, I have a very strange question regarding SSL setup on gluster storage. I have create a common CA and sign certificate for my gluster nodes, placed host certificate, key and common CA certificate into /etc/ssl/, create a file called secure-access into /var/lib/glusterd/ Then, I start glusterd on all nodes, system work fine, I see with peer status all of my nodes. No problem.

[R 1.7.1 on Windows XP Pro] Since R allows missing values for character variables, why are NA's not propagated by character manipulation functions? For example: > temp <- c("a", NA) > temp [1] "a" NA > is.na(temp) [1] FALSE TRUE > paste(temp[1], temp[2]) [1] "a NA" > substr(temp, 1, 1) [1] "a" "N" >

On Wed, Jan 16, 2013 at 12:04:52PM -0500, Stephen Checkoway wrote: > > On Jan 16, 2013, at 10:07 AM, Brad Smith <brad at comstyle.com> wrote: > > > I was wondering if someone with more familiarity with MC > > on X86 could consider looking into adding support for > > the hyphenated versions of the VIA Padlock instructions? > > > Take a look at

Dear R friends, I know that this topic has been mulled over before, and that there is a substantial difference between the convergence criteria for JMP and those for R. I apologize that this is somwehat raking cold coals. Summary: A model/data combination achieves convergence in JMP, and survives a reasonably rigorous examination (sensible parameter estimates, well-behaved surface,

Hello, I have studied register allocation in theoretical aspects and exploring the same in the implementation level. I need a minimal testcase for register spilling to analyze spilling procedure in llvm. I tried with a testcase taking 20 variables but all the 20 variables are getting stored in the stack using %rbp. Maybe my live variable analysis is wrong. Please help me with a minimal testcase

Just to repeat: you have NamesWide<-data.frame(Name1=c("Tom","Dick"),Name2=c("Larry","Curly")) and you want NamesLong<-data.frame(Names=c("Tom","Dick","Larry","Curly")) There must be something I am missing, because NamesLong <- data.frame(Names = c(NamesWide$Name1, NamesWide$Name2)) appears to