I have a dataframe of t.tests with 2 columns: objects and their p.value:
`t.test>1sd` <- tibble(
object = c('obj1','obj2','obj3'),
p.value= c(0.45,0.34,0.02)
)
> `t.test>1sd`
# A tibble: 3 x 2
object p.value
<chr> <dbl>
1 obj1 0.45
2 obj2 0.34
3 obj3 0.02
And now I want to add a third column. The values in the new column should contain a part of the name of the dataframe. From the datraframe-name t.test>1sd
i want to extract >1sd
. (In this case >1sd is a special boundary) But I have more dataframes with different boundaries (>2sd, >3sd,...) So I need a solution that separates t.test
and >1sd
Here is my desired output:
> `t.test>1sd`
# A tibble: 3 x 2
object p.value boundary
<chr> <dbl> <chr>
1 obj1 0.45 >1sd
2 obj2 0.34 >1sd
3 obj3 0.02 >1sd
Is there a solution in the stringr-package? Can someone help me?
根据LAP的建议, str_extract('t.test>1sd', '\\\\>[:digit:]{1}sd')
应该可以解决问题。
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