I have list of data.frame, where I need to do transformation for .score
column. However, I implemented helper function for this transformation. After I call .helperFunc
for my input list of data.frame, but I got weird pvalue format in first, third data.frame. How to normalize rather big decimal to simple scientific number ? Can anyone tell me how to make this happen easily ?
toy data :
savedDF <- list(
bar = data.frame(.start=c(12,21,37), .stop=c(14,29,45), .score=c(5,69,14)),
cat = data.frame(.start=c(18,42,18,42,81), .stop=c(27,46,27,46,114), .score=c(15,5,15,5,134)),
foo = data.frame(.start=c(3,3,33,3,33,91), .stop=c(26,26,42,26,42,107), .score=c(22,22,6,22,6,7))
)
I got this weird output:
> .savedDF
$bar
.start .stop .score p.value
1 12 14 5 0.000010000000000000000817488438054070343241619411855936050415039062500
2 21 29 69 0.000000000000000000000000000000000000000000000000000000000000000000001
3 37 45 14 0.000000000000009999999999999999990459020882127560980734415352344512939
$cat
.start .stop .score p.value
1 18 27 15 1e-15
2 42 46 5 1e-05
3 18 27 15 1e-15
4 42 46 5 1e-05
5 81 114 134 1e-134
$foo
.start .stop .score p.value
1 3 26 22 0.0000000000000000000001
2 3 26 22 0.0000000000000000000001
3 33 42 6 0.0000010000000000000000
4 3 26 22 0.0000000000000000000001
5 33 42 6 0.0000010000000000000000
6 91 107 7 0.0000001000000000000000
I don't know what happen this, only second data.frame' format is desired. How can I normalize p.value column as simple as possible ?
last column of cat
is considered to be desired format, or more precise but simple scientific number is also fit for me.
How can I make this normalization for unexpectedly long decimal numbers ? How can I achieve my desired output ? Any idea ? Thanks a lot