在r中读取csv文件后，我找不到相关性，发送错误消息说“ x必须是数字”
s = read.csv(file.choose(), header=T)
Error in cor(s) : 'x' must be numeric
数据集 https://github.com/vincentarelbundock/Rdatasets/blob/master/csv/MASS/UScereal.csv
答案 0 :(得分：0)
您的数据不完全是数字的，因此您应该仅对数字数据执行相关功能
library(MASS)
data("UScereal")
# type of variables
str(UScereal)
# 'data.frame': 65 obs. of 11 variables:
# $ mfr : Factor w/ 6 levels "G","K","N","P",..: 3 2 2 1 2 1 6 4 5 1 ...
# $ calories : num 212 212 100 147 110 ...
# $ protein : num 12.12 12.12 8 2.67 2 ...
# $ fat : num 3.03 3.03 0 2.67 0 ...
# $ sodium : num 394 788 280 240 125 ...
# $ fibre : num 30.3 27.3 28 2 1 ...
# $ carbo : num 15.2 21.2 16 14 11 ...
# $ sugars : num 18.2 15.2 0 13.3 14 ...
# $ shelf : int 3 3 3 1 2 3 1 3 2 1 ...
# $ potassium: num 848.5 969.7 660 93.3 30 ...
# $ vitamins : Factor w/ 3 levels "100%","enriched",..: 2 2 2 2 2 2 2 2 2 2 ...
仅应执行关联 数值，表示第2至8列和第10列
# correlation matrix
cor(UScereal[c(2:8,10)])
# calories protein fat sodium fibre carbo sugars potassium
# calories 1.0000000 0.7060105 0.5901757 0.5286552 0.3882179 0.78872268 0.49529421 0.4765955
# protein 0.7060105 1.0000000 0.4112661 0.5727222 0.8096397 0.54709029 0.18484845 0.8417540
# fat 0.5901757 0.4112661 1.0000000 0.2595606 0.2260715 0.18285220 0.41567397 0.3232754
# sodium 0.5286552 0.5727222 0.2595606 1.0000000 0.4954831 0.42356172 0.21124365 0.5566426
# fibre 0.3882179 0.8096397 0.2260715 0.4954831 1.0000000 0.20307489 0.14891577 0.9638662
# carbo 0.7887227 0.5470903 0.1828522 0.4235617 0.2030749 1.00000000 -0.04082599 0.2420485
# sugars 0.4952942 0.1848484 0.4156740 0.2112437 0.1489158 -0.04082599 1.00000000 0.2718335
# potassium 0.4765955 0.8417540 0.3232754 0.5566426 0.9638662 0.24204848 0.27183347 1.0000000