如何从 read.csv 生成的数据框而不是列表中获取单个值?

How can I get a single value from a read.csv-produced dataframe instead of a list?

我在数据路径上使用 read.csv。它 returns 一个数据框。我希望能够在此数据框中获得单个值,但我得到的是显示级别的值列表。

我已经尝试了几种方法来访问我想要的值。在下一部分中,我将向您展示我的尝试以及我得到的结果。

这是我的简单数据框:

"OGM","Nutrient","data3"
"tomato","iron",0.03
"domestic cat","iron",0.02
"zebrafish","zing",0.02
"giraffe","nitrate", 0.09
"common cougar","manganese",0.05
"fawn","nitrogen",0.04
"daim","bromure",0.08
"wild cat","iron",0.05
"domestic cat","calcium",0.02
"muren","calcium",0.07
"jaguar","iron",0.02
"green turtle","sodium",0.01
"dave grohl","metal",0.09
"zebra","nitrates",0.12
"tortoise","sodium",0.16
"dinosaur","calcium",0.08
"apex mellifera","sodium",0.15

这是我加载数据的方式:

   #use read.csv on the datapath contained in file   
   fileData <- read.csv(file[4][[1]])
   print(fileData[1][1])

我想要的是访问单个值:例如,"tomato" 或 "nitrate"。我想要的结果就是这样:

>[1] tomato

这是我的尝试和得到的结果:

print(fileData[1][1]) returns

>  OGM
>1          tomato
>2    domestic cat
>3       zebrafish
>4         giraffe...

print(fileData$OGM[1]) returns

>  [1] tomato
Levels: apex mellifera common cougar daim...

print(fileData[1][[1]]) returns

> [1] tomato         domestic cat   zebrafish      giraffe        common cougar [...]       
[15] tortoise       dinosaur       apex mellifera
Levels: apex mellifera common cougar daim...

print(fileData$OGM[[1]]) returns

Levels: apex mellifera common cougar daim...

对于这个愚蠢的问题,我深表歉意,但我有点迷茫。感谢所有帮助。如果你想让我编辑我的 post 更清楚,请告诉我。谢谢。

一些建议

尝试 readr::read_csv 而不是 read.csv 来读入您的数据。这将解决 stringsAsFactors 问题。或者使用 Stewart Macdonald 建议的方法。

输入数据后,您可以按如下方式操作它

# Make a sample dataframe

library(tidyverse)


df <- tribble(~OGM, ~Nutrient, ~data3,
"tomato","iron",0.03,
"domestic cat","iron",0.02,
"zebrafish","zing",0.02,
"giraffe","nitrate", 0.09,
"common cougar","manganese",0.05,
"fawn","nitrogen",0.04,
"daim","bromure",0.08,
"wild cat","iron",0.05,
"domestic cat","calcium",0.02,
"muren","calcium",0.07,
"jaguar","iron",0.02,
"green turtle","sodium",0.01,
"dave grohl","metal",0.09,
"zebra","nitrates",0.12,
"tortoise","sodium",0.16,
"dinosaur","calcium",0.08,
"apex mellifera","sodium",0.15)

df %>% 
  select(OGM) %>% # select the OGM column
  filter(OGM == 'tomato') %>% 
  pull # convert to a vector

[1] "tomato"