search for: dft

...s) df <- subset(df, df$Time < (max(df$Time) - warmup_cooldown_minutes)) # ========================================================================================= # Throughput # ========================================================================================= if (decouple) { dft <- aggregate(x=df$Runtime, by=list(df$Time,df$Workload), FUN=length) names(dft)[names(dft)=="Group.1"] <- "Time" names(dft)[names(dft)=="Group.2"] <- "Workload" names(dft)[names(dft)=="x"] <- "Y" } else {...

Dear all, I need to do the same procedure on several files. But I don't know how to refer to the file name. Here is an example of what I am trying to do. List of files: file1(A,B,C, D1...Dn), file2(A,B,C,E1,...,En), file3(A,B,C,F1,...,Fn) Procedure I want to apply on each file: dft <- melt(df,id=c('A','B','C')) dft$X <- substr(dft$variable,1,3) dft$Y <- substr(dft$variable,4,8) dft1 <- cast(dft, A+B+C+X ~ Y,value="response") As you see all the files contains the same 3 variables A,B,C that I use in the procedure. So I want to ap...

...e panel/plot). I am open to alternative code as to how I could present this data. Time1 <- c(9.0,6.0,1.0,5.0,7.0,9.0,5.0,7.5,6.0,8.0,5.0,5.0,9.0,4.0,5.0,5.0) Time2 <- c (10,5,3,3,3,6,7,8,5,8,7,7,9,8,5,3) Time3 <- c (10,0,3,0,0,6,0,0,0,0,0,0,0,0,0,0) df <- rbind (Time1, Time2, Time3) dft <- (t(df)) dft barplot(dft, beside = TRUE, main= "Risk score by assessment", xlab = " Score", ylab = "frequency", col="blue") Any assistance is much appreciated, regards Bob Green

Hi, I want to set a make a contingency table which will look like this.. The problem is that I can't  set the table like the following.                      col1     col2       Total     row1              a         b         n10                      rp1       rp2        100                      cp1       cp2       rtp1   ---------------------------------------------     row2            

...ves, and thus returns, is dependent on what SCEV's have been previously constructed (unfortunately), it's not hard to develop these kinds of processing-order dependencies with analyses that use SCEV. -Hal Thankfully, it looks like the SCEVs that are produced for each instruction in the DFT that I’m looking at are consistent; there doesn’t seem to be any affect on the SCEVs themselves as a result of the traversal orders. It looks to me that there are two pieces of the implementation of IVUsers that are leading to the fragility (i.e. dependence on input ordering) that I am seeing. A)...

...ves, and thus returns, is dependent on what SCEV's have been previously constructed (unfortunately), it's not hard to develop these kinds of processing-order dependencies with analyses that use SCEV. -Hal Thankfully, it looks like the SCEVs that are produced for each instruction in the DFT that I’m looking at are consistent; there doesn’t seem to be any affect on the SCEVs themselves as a result of the traversal orders. It looks to me that there are two pieces of the implementation of IVUsers that are leading to the fragility (i.e. dependence on input ordering) that I am seeing. A)...

...t's not hard to develop these kinds >>>> of processing-order dependencies with analyses that use SCEV. >>>> >>>> -Hal >>>> >>> >>> Thankfully, it looks like the SCEVs that are produced for each >>> instruction in the DFT that I’m looking at are consistent; there >>> doesn’t seem to be any affect on the SCEVs themselves as a result of >>> the traversal orders. >>> >>> It looks to me that there are two pieces of the implementation of >>> IVUsers that are leading to the...

I have a data set similar to this: P1id Veg1 Veg2 AreaPoly2 P2ID 1 p p 1 1 1 p p 1.5 2 2 p p 2 3 2 p h 3.5 4 For each group of "Poly1id" records, I wish to output (subset) the record which has largest "AreaPoly2" value, but only if

...tore i64 %iv.inc, i64* %addr, align 8 As you can see, there’s clearly commonalities in these results but there are also SCEVs that will, or will not, appear in the IVUsers results depending on just simple differences in phi-instruction or use list ordering. Basically, IVUsers starts a series of DFTs at each of the phi nodes in the loop header. Each DFT traverses through the def-use chains of defs with “interesting” SCEVs. At each step of the DFT it is deciding whether to add users of the current instruction’s SCEV to the IVUsers set based on properties of the user itself. The reason for the d...

Dear All! my data is on pairs of countries, i and j, e.g.: y,i,j 1,AUT,BEL 2,AUT,GER 3,BEL,GER I would like to create a dummy (indicator) variable for use in regression (using factor?), such that it takes the value of 1 if the country is in the pair (i.e. EITHER an i-country OR an j-country). Thank you for your help, Serguei ________________________________________ Austrian Institute of

Hi, When implementing forced-commands using authorized-keys, I realized that scp (when run at the server end) arguments -d, -f and -t are not documented on the man page. scp.c: ... /* Server options. */ case 'd': targetshouldbedirectory = 1; break; case 'f': /*

In http://tolstoy.newcastle.edu.au/R/e2/help/06/10/3064.html a method was given for converting a frequency table to an expanded data frame representing each observation as a set of factors. A slightly modified version was later included in the NCStats package, only on http://rforge.net/ (and it has too many dependencies to be useful). I've tried to make it more general, allowing an input

...mb.conf, in station log is suspicious record about closing file with filedescriptor fd=-1 : [2002/06/07 14:33:53, 4] smbd/open.c:open_file_shared1(891) calling open_file with flags=0x0 flags2=0x0 mode=0764 [2002/06/07 14:33:53, 2] smbd/open.c:open_file(230) johny opened file O/a1/KO-I_X8-eh.dft read=Yes write=No (numopen=1) reply_ntcreate_and_X: fnum = 5004, open name = O/a1/KO-I_X8-eh.dft switch message SMBclose (pid 6617) pipe name srvsvc pnum=71e8 (pipes_open=1) [2002/06/07 14:33:53, 5] smbd/pipes.c:reply_pipe_close(255) reply_pipe_close: pnum:71e8 [2002/06/07 14:33:53, 4]...

...kernel memdisk append initrd=clave03.imz label w kernel memdisk append initrd=clave03.imz Label N kernel memdisk append initrd=msnet.img Label n kernel memdisk append initrd=msnet.img label M kernel memdisk append initrd=memtest.img label m kernel memdisk append initrd=memtest.img label dft kernel memdisk append initrd=/isolinux/drvtest/dft.imz label DFT kernel memdisk append initrd=/isolinux/drvtest/dft.imz label dftn kernel memdisk append initrd=/isolinux/drvtest/dft.img label DFTn kernel memdisk append initrd=/isolinux/drvtest/dft.img label wmd kernel memdisk append initr...

Hey all, I am trying to use the survreg function in R to estimate the mean and standard deviation to come up with the MLE of alpha and lambda for the weibull distribution. I am doing the following: times<-c(10,13,18,19,23,30,36,38,54,56,59,75,93,97,104,107,107,107) censor<-c(1,0,0,1,0,1,1,0,0,0,1,1,1,1,0,1,0,0) survreg(Surv(times,censor),dist='weibull') and I get the following

I had trouble with some tests for the survival suite last night that I cannot explain. Framework: Ubuntu Linux, R2.11. For testing survival I have a separate directory and Makefile. I pull everything into the local .RData, no packages, library, or namespace. (It's easier to add test modifications to a routine in a chain of calls). A test of survreg + psline would fail because

Hi R-users: I want to know if there is an easy way to obtain a Fourier Transform form a vector or an array (just like fft does), but with a more density base. I mean, if I have a vector of 512 of length, I want the Fourier Transform to be 1024, or 2048, etc, in length (de u domain). Or should I modify the fft C code to do that? If I want to modify the precision of the fft function, which

...ppooled = sum/sum(weights) #Now the pooled G obs = tapply(obscounts,cov,sum) exp = expproppooled*sum(obs) Gp = 2*sum(obs*log(obs/exp)) dfp = max(as.integer(levels(cov)))-1 probp = pchisq(Gp, dfp, lower.tail=F) #total G Gt = sum(G) dft = sum(dfs) probt = pchisq(Gt, dft, lower.tail=F) #heterogeneity G Gh = Gt-Gp dfh = dft - dfp probh = pchisq(Gh, dfh, lower.tail=F) #F ratio Fratio = (Gp/dfp)/(Gh/dfh) probf = pf(Fratio, dfp, dfh, lower.tail=F) res = list(TotG=c(Gt,...

Hi, An example data set is: group level color A 1 "blue" A 1 "Red" B 1 "blue" B 2 "Red" A 2 "Red" B 2 "Red" B 2 "blue" B 2 "blue" A 2 "blue" A 2 "Red"

.../usr/dash/expand.c @@ -1584,14 +1584,14 @@ pmatch(const char *pattern, const char *string) p++; } found = 0; - chr = *q++; + chr = *q; if (chr == '\0') return 0; c = *p++; do { if (!c) { p = startp; - c = *p; + c = '['; goto dft; } if (c == '[') { @@ -1618,6 +1618,7 @@ pmatch(const char *pattern, const char *string) } while ((c = *p++) != ']'); if (found == invert) return 0; + q++; break; } dft: default: