R笔记本中数字的输出
Output of numbers in R notebook
我有一个关于在 R 笔记本中内联输出数字的问题。
我想使用 dplyr 和管道切换到更易读的代码,但现在我想计算的数字不再与文本显示一致。
到目前为止,我的代码是这样写的:
Number of dogs: `r nrow(animals[which(animals$species == "dog"),])`!
我得到了内嵌的数字:
Number of dogs: 8!
如果我切换到
Number of dogs: `r animals %>% filter(species == "dog") %>% count()`!
输出不再是内联的,而是插入到下面一行,周围有一个框:
Number of dogs:
[ n]
[ <int>]
[ 90]
[1 row ]
!
如何取回内联输出?
结果被强制转换为 tibble
。
library(dplyr)
(xy <- iris %>% filter(Species == "setosa") %>% count())
# A tibble: 1 × 1
n
<int>
1 50
包裹成as.numeric
得到一个数字(长度为1的向量)。
> as.numeric(xy)
[1] 50
unlist(xy)
也有效。
不清楚 OP 是如何编码的
title: "Testing"
author: "akrun"
date: "April 28, 2017"
output: pdf_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(dplyr)
library(tibble)
```
```{r code1, eval=TRUE, echo = FALSE}
animals <- data.frame(species = c("dog", "cat", "dog", "cat"), stringsAsFactors=FALSE)
animals1 <- data_frame(species = c("dog", "cat", "dog", "cat"), stringsAsFactors=FALSE)
animals2 <- as_tibble(animals)
```
Number of dogs: `r animals %>% filter(species == "dog") %>% count()`!
Number of dogs: `r animals1 %>% filter(species == "dog") %>% count()`!
Number of dogs: `r animals2 %>% filter(species == "dog") %>% count()`!
给出输出
我有一个关于在 R 笔记本中内联输出数字的问题。 我想使用 dplyr 和管道切换到更易读的代码,但现在我想计算的数字不再与文本显示一致。
到目前为止,我的代码是这样写的:
Number of dogs: `r nrow(animals[which(animals$species == "dog"),])`!
我得到了内嵌的数字:
Number of dogs: 8!
如果我切换到
Number of dogs: `r animals %>% filter(species == "dog") %>% count()`!
输出不再是内联的,而是插入到下面一行,周围有一个框:
Number of dogs:
[ n]
[ <int>]
[ 90]
[1 row ]
!
如何取回内联输出?
结果被强制转换为 tibble
。
library(dplyr)
(xy <- iris %>% filter(Species == "setosa") %>% count())
# A tibble: 1 × 1
n
<int>
1 50
包裹成as.numeric
得到一个数字(长度为1的向量)。
> as.numeric(xy)
[1] 50
unlist(xy)
也有效。
不清楚 OP 是如何编码的
title: "Testing"
author: "akrun"
date: "April 28, 2017"
output: pdf_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(dplyr)
library(tibble)
```
```{r code1, eval=TRUE, echo = FALSE}
animals <- data.frame(species = c("dog", "cat", "dog", "cat"), stringsAsFactors=FALSE)
animals1 <- data_frame(species = c("dog", "cat", "dog", "cat"), stringsAsFactors=FALSE)
animals2 <- as_tibble(animals)
```
Number of dogs: `r animals %>% filter(species == "dog") %>% count()`!
Number of dogs: `r animals1 %>% filter(species == "dog") %>% count()`!
Number of dogs: `r animals2 %>% filter(species == "dog") %>% count()`!
给出输出