问题
I have a csv file weight.csv with the following contents.
weight,weight_selfreport
81.5,81.66969147005445
72.6,72.59528130671505
92.9,93.01270417422867
79.4,79.4010889292196
94.6,96.64246823956442
80.2,79.4010889292196
116.2,113.43012704174228
95.4,95.73502722323049
99.5,99.8185117967332
If I do
library(readr)
Df <- read_csv('weight.csv')
Df
I get
# A tibble: 9 x 2
weight weight_selfreport
<dbl> <dbl>
1 81.5 81.7
2 72.6 72.6
3 92.9 93.0
4 79.4 79.4
5 94.6 96.6
6 80.2 79.4
7 116. 113.
8 95.4 95.7
9 99.5 99.8
If I convert that tibble to a normal data frame, I'll see more digits.
as.data.frame(Df)
weight weight_selfreport
1 81.5 81.66969
2 72.6 72.59528
3 92.9 93.01270
4 79.4 79.40109
5 94.6 96.64247
6 80.2 79.40109
7 116.2 113.43013
8 95.4 95.73503
9 99.5 99.81851
Initially I thought that if I wanted to get this type of display for the tibble, I thought I would do options(pillar.sigfig = 5).
However, that's not what it does.
options(pillar.sigfig = 5)
Df
# A tibble: 9 x 2
weight weight_selfreport
<dbl> <dbl>
1 81.5 81.670
2 72.600 72.595
3 92.9 93.013
4 79.4 79.401
5 94.6 96.642
6 80.2 79.401
7 116.2 113.43
8 95.4 95.735
9 99.5 99.819
And so I see that pillar.sigfig is about controlling significant digits not decimals places.
Fine but
- Why is (row 2, col 1) 72.6 being displayed as 72.600?
- What can I do, or can I do anything, to get five decimals places?
来源：https://stackoverflow.com/questions/55018308/controlling-decimal-places-displayed-in-a-tibble-understanding-what-pillar-sigf