search for: all_combines

Displaying 10 results from an estimated 10 matches for "all_combines".

2016 Apr 17
2
R [coding : do not run for every row ]
i have combined all the variables in a matrix, and i wish to conduct a simulation row by row. But i found out the code only works for the every first row after a cycle of nine samples. But after check out the code, i don know where is my mistake... can anyone pls help .... #For gamma disribution with equal skewness 1.5 #to evaluate the same R function on many different sets of data
2018 Nov 09
5
[RFC] Tablegen-erated GlobalISel Combine Rules
...%root1 as the root and the other with %root2 as the root. Grouping and Ordering Rules Combine rules are ordered and grouped using definitions of the form: def trivial_combines : GICombineGroup<[copy_prop]>; def combines_for_extload: GICombineGroup<[extending_loads]>; def all_combines : GICombineGroup<[trivial_combines, combines_for_extload]>; Essentially, we create a long ordered list of all the combines. Tablegen is free to re-order rules so long as the resulting ruleset always behaves as if it were in this specific order. So for example, the list [sext_trunc_sext, zext...
2016 Apr 18
0
R [coding : do not run for every row ]
Dear anonymous, The big mistake in the output might be obvious to you but not to others. Please make clear what the correct output should be or at least what is wrong with the current output. And please DO read the posting guide which asks you not to post in HTML. ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie &
2018 Nov 10
3
[RFC] Tablegen-erated GlobalISel Combine Rules
...our comments! >> _Grouping and Ordering Rules_ >> Combine rules are ordered and grouped using definitions of the form: >> def trivial_combines : GICombineGroup<[copy_prop]>; >> def combines_for_extload: GICombineGroup<[extending_loads]>; >> def all_combines : GICombineGroup<[trivial_combines, combines_for_extload]>; >> Essentially, we create a long ordered list of all the combines. Tablegen is free to re-order rules so long as the resulting ruleset always behaves as if it were in this specific order. So for example, the list [sext_trunc_se...
2016 Apr 19
0
problem on simulation code (the loop unable to function effectively)
Hi Jeem, First, please send questions like this to the help list, not me. I assume that you are in a similar position to sjtan who has been sending almost exactly the same questions. The problem is not in the loops (which look rather familiar to me) but in your initial assignments at the top. For instance: scale parameter=(1,1.5,2,2.5,3) produces an error which has nothing to do with the
2016 Apr 18
3
R [coding : do not run for every row ]
Hi, i am sorry, the output should be values between 0 and 0.1 and not supposed to be 1.00, it is because they are type 1 error rate. And now i get output 1.00 for several samples,rhis is no correct. The loop do not run for every row. i do not know where is my mistake. As i use the same concept on normal distribution setup, i get the result. Sent from my phone On Thierry Onkelinx
2016 Apr 19
0
problem on simulation code (the loop unable to function effectively)
Hi Si Jie, Again, please send questions to the list, not me. Okay, I may have worked out what you are doing. The program runs and produces what I would expect in the rightmost columns of the result "g". You are storing the number of each test for which the p value is less than 0.05. It looks to me as though the objects storing the results should be vectors as you are only storing 100 p
2016 Apr 18
0
R [coding : do not run for every row ]
Always keep the mailing list in cc. The code runs for each row in the data. However I get the feeling that there is a mismatch between what you think that is in the data and the actual data. ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070
2016 Apr 18
0
R [coding : do not run for every row ]
You can make this much more readable with apply functions. result <- apply( all_combine1, 1, function(x){ p.value <- sapply( seq_len(nSims), function(sim){ gamma1 <- rgamma(x["m"], x["sp(skewness1.5)"], x["scp1"]) gamma2 <- rgamma(x["n"], x["scp1"], 1) gamma1 <- gamma1 -
2018 Nov 12
3
[RFC] Tablegen-erated GlobalISel Combine Rules
...g and Ordering Rules_ >>>> Combine rules are ordered and grouped using definitions of the form: >>>> def trivial_combines : GICombineGroup<[copy_prop]>; >>>> def combines_for_extload: GICombineGroup<[extending_loads]>; >>>> def all_combines : GICombineGroup<[trivial_combines, combines_for_extload]>; >>>> Essentially, we create a long ordered list of all the combines. Tablegen is free to re-order rules so long as the resulting ruleset always behaves as if it were in this specific order. So for example, the list [sext_...