Hello useRs,
The results of the SORT function differ from Scilab/Matlab for Complex
Numbers in my example.
This design is the desirable in R?
Thanks.
Cleber
r <- c(
1.7507+0.1689i, 1.7507-0.1689i, 1.3886+0.0000i, 1.0458+0.0792i,
1.0458-0.0792i,
0.8279+0.1861i, 0.8279-0.1861i, 0.8263+0.3731i, 0.8263-0.3731i,
0.6548+0.0000i
)
> cbind(sort(r, d=T))
[,1]
[1,] 1.7507+0.1689i
[2,] 1.7507-0.1689i
[3,] 1.3886+0.0000i
[4,] 1.0458+0.0792i
[5,] 1.0458-0.0792i
[6,] 0.8279+0.1861i
[7,] 0.8279-0.1861i
[8,] 0.8263+0.3731i
[9,] 0.8263-0.3731i
[10,] 0.6548+0.0000i
>
Scilab
-->gsort(r)
ans =
1.7507 + 0.1689i
1.7507 - 0.1689i
1.3886
1.0458 + 0.0792i
1.0458 - 0.0792i
0.8263 + 0.3731i
0.8263 - 0.3731i
0.8279 + 0.1861i
0.8279 - 0.1861i
0.6548
> sessionInfo()
R version 2.15.2 (2012-10-26)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=Portuguese_Brazil.1252 LC_CTYPE=Portuguese_Brazil.1252
[3] LC_MONETARY=Portuguese_Brazil.1252 LC_NUMERIC=C
[5] LC_TIME=Portuguese_Brazil.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] R.matlab_1.6.1 R.oo_1.10.2 R.methodsS3_1.4.2
loaded via a namespace (and not attached):
[1] MASS_7.3-22 tools_2.15.2
>
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