search for: temp4

...19", "temp19", "temp19", "temp19", "temp2", "temp2", "temp2", "temp2", "temp2", "temp20", "temp20", "temp20", "temp3", "temp3", "temp3", "temp4", "temp5", "temp6", "temp6", "temp6", "temp6", "temp7", "temp7", "temp7", "temp7", "temp8", "temp8", "temp8", "temp8", "temp8", "temp9",...

Hi all, I have a C code in Linux, it has 7 pointers and compile e run OK, but when I run in R happens problems with calloc function, it returns NULL. ############################################### > int *temp1,*temp2,*temp3,*temp4; temp1 = (int *)calloc(col,sizeof(int)); if(temp1 == NULL){ printf("\n\n No Memory1!"); exit(1); } temp2 = (int *)calloc(col,sizeof(int)); if(temp2 == NULL){ >printf("\n\n No Memory2!"); >exit(1); } temp3 = (int *)calloc(col,sizeof...

...u are not supposed to do"... you are assuming a certain evaluation order of the 4 "$" operators in " D$ABC[D$M] = D$V[D$M] " as in: temp1 <- D$M # 2nd and 4th temp2 <- D$V[temp1] # 3rd D$ABC[temp1] = temp2 # 1st What R did was this: temp4 <- D$ABC # make reference, expand to D$ABCD , 1st temp1 <- D$M # 2nd, and 4th temp2 <- D$V[temp1] # 3rd temp4[temp1] <- temp2 # oh dear, it looks as if we are D$ABC <- temp4 # trying to write to a reference, # better make a copy...

...ike to have in my IR the following : %temp = i8* getelementptr inbounds ([2 x [2 x [3 x i8]]]* @main.s, i32 0) %temp1 = i8* getelementptr inbounds( %temp, i32 0) %temp2 = i8* getelementptr inbounds (%temp1, i32 0) %temp4 = i8* getelementptr inbounds (%temp3, i32 0) call void @llvm.memcpy.i32(i8* %19, i8* %temp4, i32 12, i32 1) What i'm asking is, if LLVM can do this for me (for example with a certain flag while compiling the code) or i should break on my own these kind of expressions into simpler....

...xlab="log10(r)", ylab="log10(tf)", pch=46) plot(temp2[,5], temp2[,6], xlab="log10(r)", ylab="log10(tf)", pch=46) plot(temp3[,5], temp3[,6], xlab="log10(r)", ylab="log10(tf)", pch=46) plot(temp4[,5], temp4[,6], xlab="log10(r)", ylab="log10(tf)", pch=46) dev.print(device=pdf, height=12, width=10, file="Marginal.pdf") I would very much like to include say 0.1, 0.5 and 0.99 contours onto the graphs, but I can't figure it out using any ex...

...and how to specify nested factors when using coxph(), and if it is appropriate to nest these factors in my situation. In the simplest form, I am testing two different temperatures, with each temperature being performed twice in different experimental periods (e.g. Temp5 performed in Period A and C, Temp4 performed in Period B and D) I am trying to see if survival time is affected by the treatment temperature. To do this I am using temperature and experimental period nested within temperature as factors. > LOEtempmod.5days=coxph(LOE.stable.5days~Temp+Temp/Period,data=goodstable) Warning message...

...HEIgradv+QHEImwh+QHEIcovtype+QHEIwwh+QHab+QHabBuff+QHabEros+QhabPool+ QHabWDRatio+QHabRif+QHabFines+QHabCov+QHabRating+QHabSize+TP+TKN+NH3+NH3Min +NO3NO2N+BOD+TSS+TSSMax+TDS+SSC+SSCMax+Chloride+Sulfate+Ecoli+ChlA+DOper+ DOperMin+DOperMin1_5+DOmgL+DOmgLMean+DOmgLMax+Cond+pH+pHMax+Trans+Temp+ TempMin+Temp4+Crop100+Crop500+CropSub+Dev100+Dev500+DevSub+For100+For500+ ForSub+Pas100+Pas500+PasSub+Wat100+Wat500+WatSub+Wet100+Wet500+WetSub+ Undev100+Undev500+UndevTotal+Undev100NoPas+Undev500NoPas+UndevTotNoPas, data=AllData1, na.action="na.omit", CV=TRUE) Error in lda.default(x, grouping, ...) :...

Hello, First the version info: platform powerpc-apple-darwin8.6.0 arch powerpc os darwin8.6.0 system powerpc, darwin8.6.0 status major 2 minor 3.1 year 2006 month 06 day 01 svn rev 38247 language R version.string Version 2.3.1 (2006-06-01) I have encountered some unusual behavior when trying to

...1; } } The corresponding simplified llvm-IR is shown in below: *Beginning of simplified llvm-IR* entry: ... store i32 0, i32* %j, align4 br label %for.cond for.cond: ... br ... for.body: store i32 1, i32* %i, align4 br ... for.cond1: ... for.body3: ... %temp4 = load[10 x i32]** %a.addr, align 8 ... store i32 %add, i32* %arrayidx10, align4 br ... ... ... *End of simplified llvm-IR* The general idea to obtain the dynamic data dependence is that 1. get and record corresponding load/store addresses; 2. analyze load/store addresses in different...

...br label %for.cond > > > > for.cond: > > ... > > br ... > > > > for.body: > > store i32 1, i32* %i, align4 > > br ... > > > > for.cond1: > > ... > > > > for.body3: > > ... > > %temp4 = load[10 x i32]** %a.addr, align 8 > > ... > > store i32 %add, i32* %arrayidx10, align4 > > br ... > > > > ... ... > > *End of simplified llvm-IR* > > > > The general idea to obtain the dynamic data dependence is that 1. get and > reco...

...br label %for.cond > > > > for.cond: > > ... > > br ... > > > > for.body: > > store i32 1, i32* %i, align4 > > br ... > > > > for.cond1: > > ... > > > > for.body3: > > ... > > %temp4 = load[10 x i32]** %a.addr, align 8 > > ... > > store i32 %add, i32* %arrayidx10, align4 > > br ... > > > > ... ... > > *End of simplified llvm-IR* > > > > The general idea to obtain the dynamic data dependence is that 1. get and > reco...

...n. However, I have tried using the 'lm' function and i get the result, like this. ( 'xi' is 25 by 1 vector ) > reg <- lm(xi~temp) > > reg Call: lm(formula = xi ~ temp) Coefficients: (Intercept) temp1 temp2 temp3 temp4 temp5 temp6 temp7 -3.704e-15 2.434e-02 4.087e-02 NA -5.241e-01 -1.213e-02 NA -1.960e-02 temp8 temp9 temp10 temp11 temp12 temp13 temp14 temp15 6.516e-03 NA -6.651e-02 8.865e-02...

I'm wondering if anyone has written some functions or code for handling very large files in R. I am working with a data file that is 41 variables times who knows how many observations making up 27MB altogether. The sort of thing that I am thinking of having R do is - count the number of lines in a file - form a data frame by selecting all cases whose line numbers are in a supplied vector