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2005 Sep 09
2
R-help Digest, Vol 31, Issue 9
...lm (linear model) to analyze 47 variables , 8 responses
So I use loop to finish it .
I want the program to show the results that P-value is less than 0.05.
How can I cite the P-valus from lm result ?
Ping
The code:
#using LM to model general fati
for (j in 48:52) {
for (i in 3:46){
gen.fat<-y_x[,j]
gen.fat<-as.numeric(gen.fat)
snp_marker<-y_x[,i]
x<-colnames(y_x)
#snp_marker<-as.matrix(snp_marker)
#mode(snp_marker)
cat("phenotype is = ",x[j] , "\n")
cat("snp marker is = ",x[i] , "\n")
zz<-summary(lm.D9 <- lm(gen.fat~snp_marker)...
2013 Jan 01
0
[LLVMdev] [DragonEgg] [Polly] Should we expect DragonEgg to produce identical LLVM IR for identical GIMPLE?
...To work this out it would be
nice to have a smaller testcase.
Ciao, Duncan.
PS: Gimple differences for the loop part. I replaced all variable indices and
such with X otherwise they get in the way of the diffing.
<bb X>:
# k_X = PHI <k_X(X), k_X(X)>
- D.X_X = ny;
+ D.X_X = *ny_X(D);
j_X = X;
if (j_X <= D.X_X)
goto <bb X>;
@@ -16,7 +74,7 @@
<bb X>:
# j_X = PHI <j_X(X), j_X(X)>
- D.X_X = nx;
+ D.X_X = *nx_X(D);
i_X = X;
if (i_X <= D.X_X)
goto <bb X>;
@@ -25,48 +83,36 @@
<bb X>:
# i_X = PHI <i_...
2012 Dec 31
3
[LLVMdev] [DragonEgg] [Polly] Should we expect DragonEgg to produce identical LLVM IR for identical GIMPLE?
Dear all,
In our compiler we use a modified version LLVM Polly, which is very
sensitive to proper code generation. Among the number of limitations, the
loop region (enclosed by phi node on induction variable and branch) is
required to be free of additional memory-dependent branches. In other
words, there must be no conditional "br" instructions below phi nodes. The
problem we are facing