[英]What's the difference between a double and a numeric?
I'd like to store quarterly data using a number representation where the left side represents the year and the right the quarter.我想使用数字表示存储季度数据,其中左侧代表年份,右侧代表季度。
This is my code这是我的代码
library(tidyverse)
library(fpp)
ausbeer %>%
as_tibble %>%
select(megalitres = x) %>%
mutate(year = as.double(seq(1956, 2009, 0.25)[1:211]))
For some reason, it will only show the year as integers, and it won't show the decimals.出于某种原因,它只会将年份显示为整数,而不会显示小数。
I've checked and it's the right data underneath but I'm having a hard time making it show up.我已经检查过,下面是正确的数据,但我很难让它显示出来。
I don't want to code them as characters because that will make visualization more difficult我不想将它们编码为字符,因为这会使可视化更加困难
I guess this has to do with converting your data.frame
into a tibble
.我想这与你的转换做
data.frame
成tibble
。 Replicating your code on mtcars
dataset, we get:在
mtcars
数据集上复制您的代码,我们得到:
mtcars %>%
as_tibble() %>%
mutate(year = as.double(seq(1956, 2009, 0.25)[1:nrow(mtcars)])) %>%
dplyr::select(year) %>%
head
# year
# <dbl>
# 1 1956
# 2 1956.
# 3 1956.
# 4 1957.
# 5 1957
# 6 1957.
Here's the difference if we comment as_tibble
:如果我们评论
as_tibble
则有以下不同:
# year
# 1 1956.00
# 2 1956.25
# 3 1956.50
# 4 1956.75
# 5 1957.00
# 6 1957.25
Swapping as.double
with as.numeric
does not change anything.用
as.numeric
交换as.double
不会改变任何东西。 From ?double
:从
?double
:
as.double is a generic function. It is identical to as.numeric.
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