Displaying 6 results from an estimated 6 matches for "regiona".
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2017 Oct 18
2
creating tables with replacement
Hi R User,
I am new in R and trying to create tables with selecting rows randomly (but
with replacement) for each group but each group should have same number as
original. Is it possible to create it using the following example data set?
Your help is highly appreciated.
dat1<-structure(list(RegionA = structure(c(1L, 1L, 2L, 3L, 3L, 4L,
5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L), .Label = c("Ra",
"Rb", "Rc", "Rd", "Re", "Rf"), class = "factor"), site = structure(c(1L,
12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 2L, 3...
2017 Oct 20
1
create a loop
...to perform the
analysis with creating a loop for many replicated datasets? The code and
the example data sets are attached.
I will be very grateful if someone help me to create the loop for the
following example data and the analyses.
I appreciate your help.
MW
#####
dat1<-structure(list(RegionA = structure(c(1L, 1L, 2L, 3L, 3L, 4L, 5L, 5L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L), .Label = c("Ra", "Rb", "Rc",
"Rd", "Re", "Rf"), class = "factor"), site = structure(c(1L, 12L, 13L, 14L,
15L, 16L, 17L, 18L, 19L, 2L, 3L,...
2017 Oct 18
1
creating tables with replacement
...t; Samples$A
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 2 1 2 2 3 3 2 3 2 3
[2,] 1 1 3 1 3 3 2 3 3 3
[3,] 3 3 1 2 2 1 2 3 3 1
# The first sample from group A
> dat1[Samples$A[ , 1], ]
RegionA site temp group
2 Ra s2 21 A
1 Ra s1 23 A
3 Rb s3 10 A
# Save the first sample from group A as a .csv file
> write.csv(dat1[Samples$A[ , 1], ], row.names=FALSE, file="Test.csv")
# Save all ten group A samples as a single .csv file
# Faster but y...
2017 Oct 18
0
creating tables with replacement
...and trying to create tables with selecting rows randomly (but
> with replacement) for each group but each group should have same number as
> original. Is it possible to create it using the following example data set?
>
> Your help is highly appreciated.
>
> dat1<-structure(list(RegionA = structure(c(1L, 1L, 2L, 3L, 3L, 4L,
>
> 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L), .Label = c("Ra",
>
> "Rb", "Rc", "Rd", "Re", "Rf"), class = "factor"), site = structure(c(1L,
>
> 12L, 13L, 14L, 15L...
2017 Aug 15
2
[RFC] Enhance Partial Inliner by using a general outlining scheme for cold blocks
...ot loop.
>
> : Something that would also benefit, but would require more tuning, is the
> relationship between size and "hotness". If for example you have a function
> that looks like this:
>
> foo(bool B) {
> ... // Code that prevents early return.
>
> if(B) // RegionA : Taken 50% of the time.
> ... Very large amount of code.
>
> else // RegionB : Taken 50% of the time.
> ... Very small amount of code.
> }
>
> In the above you have two regions that aren't exactly cold. Outlining
> RegionA will make foo profitable to inline, but onl...
2017 Aug 15
3
[RFC] Enhance Partial Inliner by using a general outlining scheme for cold blocks
Hi Jessica,
Thanks for the feedback.
I believe the existing partial inliner pass does use some common utilities
like the code extractor to do outlining. Is that what you're referring to?
I don't recall seeing any other passes that has outlining other than the
machine outliner, but I may have missed something.
I briefly looked at River's RFC and it seems he's mainly utilizing