我在不同的项目中多次看到此错误，我想知道是否有办法判断哪一行导致错误一般？
我的具体案例：
http://archive.ics.uci.edu/ml/machine-learning-databases/00275/
#using the bike.csv
data<-read.csv("PATH_HERE\\Bike-Sharing-Dataset\\day.csv",header=TRUE)
require(psych)
corr.test(data)
data<-data[,c("atemp","casual","cnt","holiday","hum","mnth","registered",
"season","temp","weathersit","weekday","windspeed","workingday","yr")]
data[data=='']<-NA
#View(data)
require(psych)
cors<-corr.test(data)
返回错误：
Error in data.frame(lower = lower, r = r[lower.tri(r)], upper = upper, :
arguments imply differing number of rows: 0, 91
答案 0 :(得分：0)
它对我有用
> #using the bike.csv
> data <- read.csv("day.csv",header=TRUE)
> require(psych)
> corr.test(data)
Error in cor(x, use = use, method = method) : 'x' must be numeric
> data <- data[,c("atemp","casual","cnt","holiday","hum","mnth","registered",
+ "season","temp","weathersit","weekday","windspeed","workingday","yr")]
> data[data==''] <- NA
> #View(data)
>
> require(psych)
> cors <- corr.test(data)
> cors
Call:corr.test(x = data)
Correlation matrix
atemp casual cnt holiday hum mnth registered season temp
atemp 1.00 0.54 0.63 -0.03 0.14 0.23 0.54 0.34 0.99
casual 0.54 1.00 0.67 0.05 -0.08 0.12 0.40 0.21 0.54
cnt 0.63 0.67 1.00 -0.07 -0.10 0.28 0.95 0.41 0.63
holiday -0.03 0.05 -0.07 1.00 -0.02 0.02 -0.11 -0.01 -0.03
hum 0.14 -0.08 -0.10 -0.02 1.00 0.22 -0.09 0.21 0.13
mnth 0.23 0.12 0.28 0.02 0.22 1.00 0.29 0.83 0.22
registered 0.54 0.40 0.95 -0.11 -0.09 0.29 1.00 0.41 0.54
season 0.34 0.21 0.41 -0.01 0.21 0.83 0.41 1.00 0.33
temp 0.99 0.54 0.63 -0.03 0.13 0.22 0.54 0.33 1.00
weathersit -0.12 -0.25 -0.30 -0.03 0.59 0.04 -0.26 0.02 -0.12
weekday -0.01 0.06 0.07 -0.10 -0.05 0.01 0.06 0.00 0.00
windspeed -0.18 -0.17 -0.23 0.01 -0.25 -0.21 -0.22 -0.23 -0.16
workingday 0.05 -0.52 0.06 -0.25 0.02 -0.01 0.30 0.01 0.05
yr 0.05 0.25 0.57 0.01 -0.11 0.00 0.59 0.00 0.05
weathersit weekday windspeed workingday yr
atemp -0.12 -0.01 -0.18 0.05 0.05
casual -0.25 0.06 -0.17 -0.52 0.25
cnt -0.30 0.07 -0.23 0.06 0.57
holiday -0.03 -0.10 0.01 -0.25 0.01
hum 0.59 -0.05 -0.25 0.02 -0.11
mnth 0.04 0.01 -0.21 -0.01 0.00
registered -0.26 0.06 -0.22 0.30 0.59
season 0.02 0.00 -0.23 0.01 0.00
temp -0.12 0.00 -0.16 0.05 0.05
weathersit 1.00 0.03 0.04 0.06 -0.05
weekday 0.03 1.00 0.01 0.04 -0.01
windspeed 0.04 0.01 1.00 -0.02 -0.01
workingday 0.06 0.04 -0.02 1.00 0.00
yr -0.05 -0.01 -0.01 0.00 1.00
Sample Size
[1] 731
Probability values (Entries above the diagonal are adjusted for multiple tests.)
atemp casual cnt holiday hum mnth registered season temp
atemp 0.00 0.00 0.00 1.00 0.01 0.00 0.00 0.00 0.00
casual 0.00 0.00 0.00 1.00 1.00 0.04 0.00 0.00 0.00
cnt 0.00 0.00 0.00 1.00 0.28 0.00 0.00 0.00 0.00
holiday 0.38 0.14 0.06 0.00 1.00 1.00 0.15 1.00 1.00
hum 0.00 0.04 0.01 0.67 0.00 0.00 0.58 0.00 0.03
mnth 0.00 0.00 0.00 0.60 0.00 0.00 0.00 0.00 0.00
registered 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00
season 0.00 0.00 0.00 0.78 0.00 0.00 0.00 0.00 0.00
temp 0.00 0.00 0.00 0.44 0.00 0.00 0.00 0.00 0.00
weathersit 0.00 0.00 0.00 0.35 0.00 0.24 0.00 0.60 0.00
weekday 0.84 0.11 0.07 0.01 0.16 0.80 0.12 0.93 1.00
windspeed 0.00 0.00 0.00 0.87 0.00 0.00 0.00 0.00 0.00
workingday 0.16 0.00 0.10 0.00 0.51 0.87 0.00 0.74 0.15
yr 0.21 0.00 0.00 0.83 0.00 0.96 0.00 0.96 0.20
weathersit weekday windspeed workingday yr
atemp 0.05 1.00 0.00 1.00 1.00
casual 0.00 1.00 0.00 0.00 0.00
cnt 0.00 1.00 0.00 1.00 0.00
holiday 1.00 0.25 1.00 0.00 1.00
hum 0.00 1.00 0.00 1.00 0.13
mnth 1.00 1.00 0.00 1.00 1.00
registered 0.00 1.00 0.00 0.00 0.00
season 1.00 1.00 0.00 1.00 1.00
temp 0.05 1.00 0.00 1.00 1.00
weathersit 0.00 1.00 1.00 1.00 1.00
weekday 0.40 0.00 1.00 1.00 1.00
windspeed 0.29 0.70 0.00 1.00 1.00
workingday 0.10 0.33 0.61 0.00 1.00
yr 0.19 0.88 0.75 0.96 0.00
To see confidence intervals of the correlations, print with the short=FALSE option
>
答案 1 :(得分：0)
它对我有用:::
rm(list=ls())
# http://archive.ics.uci.edu/ml/machine-learning-databases/00275/
#using the bike.csv
day <- read.csv("Bike-Sharing-Dataset//day.csv")
require(psych)
day<-day[,c("atemp","casual","cnt","holiday","hum","mnth","registered",
"season","temp","weathersit","weekday","windspeed","workingday","yr")]
day[day=='']<-NA
require(psych)
corr.test(day)
# corr.test(day)
# Call:corr.test(x = day)
# Correlation matrix
# atemp casual cnt holiday hum mnth registered season temp weathersit weekday windspeed workingday yr
# atemp 1.00 0.54 0.63 -0.03 0.14 0.23 0.54 0.34 0.99 -0.12 -0.01 -0.18 0.05 0.05
# casual 0.54 1.00 0.67 0.05 -0.08 0.12 0.40 0.21 0.54 -0.25 0.06 -0.17 -0.52 0.25
# cnt 0.63 0.67 1.00 -0.07 -0.10 0.28 0.95 0.41 0.63 -0.30 0.07 -0.23 0.06 0.57
# holiday -0.03 0.05 -0.07 1.00 -0.02 0.02 -0.11 -0.01 -0.03 -0.03 -0.10 0.01 -0.25 0.01
# hum 0.14 -0.08 -0.10 -0.02 1.00 0.22 -0.09 0.21 0.13 0.59 -0.05 -0.25 0.02 -0.11
# mnth 0.23 0.12 0.28 0.02 0.22 1.00 0.29 0.83 0.22 0.04 0.01 -0.21 -0.01 0.00
# registered 0.54 0.40 0.95 -0.11 -0.09 0.29 1.00 0.41 0.54 -0.26 0.06 -0.22 0.30 0.59
# season 0.34 0.21 0.41 -0.01 0.21 0.83 0.41 1.00 0.33 0.02 0.00 -0.23 0.01 0.00
# temp 0.99 0.54 0.63 -0.03 0.13 0.22 0.54 0.33 1.00 -0.12 0.00 -0.16 0.05 0.05
# weathersit -0.12 -0.25 -0.30 -0.03 0.59 0.04 -0.26 0.02 -0.12 1.00 0.03 0.04 0.06 -0.05
# weekday -0.01 0.06 0.07 -0.10 -0.05 0.01 0.06 0.00 0.00 0.03 1.00 0.01 0.04 -0.01
# windspeed -0.18 -0.17 -0.23 0.01 -0.25 -0.21 -0.22 -0.23 -0.16 0.04 0.01 1.00 -0.02 -0.01
# workingday 0.05 -0.52 0.06 -0.25 0.02 -0.01 0.30 0.01 0.05 0.06 0.04 -0.02 1.00 0.00
# yr 0.05 0.25 0.57 0.01 -0.11 0.00 0.59 0.00 0.05 -0.05 -0.01 -0.01 0.00 1.00
# Sample Size
# [1] 731
# Probability values (Entries above the diagonal are adjusted for multiple tests.)
# atemp casual cnt holiday hum mnth registered season temp weathersit weekday windspeed workingday yr
# atemp 0.00 0.00 0.00 1.00 0.01 0.00 0.00 0.00 0.00 0.05 1.00 0.00 1.00 1.00
# casual 0.00 0.00 0.00 1.00 1.00 0.04 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00
# cnt 0.00 0.00 0.00 1.00 0.28 0.00 0.00 0.00 0.00 0.00 1.00 0.00 1.00 0.00
# holiday 0.38 0.14 0.06 0.00 1.00 1.00 0.15 1.00 1.00 1.00 0.25 1.00 0.00 1.00
# hum 0.00 0.04 0.01 0.67 0.00 0.00 0.58 0.00 0.03 0.00 1.00 0.00 1.00 0.13
# mnth 0.00 0.00 0.00 0.60 0.00 0.00 0.00 0.00 0.00 1.00 1.00 0.00 1.00 1.00
# registered 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00
# season 0.00 0.00 0.00 0.78 0.00 0.00 0.00 0.00 0.00 1.00 1.00 0.00 1.00 1.00
# temp 0.00 0.00 0.00 0.44 0.00 0.00 0.00 0.00 0.00 0.05 1.00 0.00 1.00 1.00
# weathersit 0.00 0.00 0.00 0.35 0.00 0.24 0.00 0.60 0.00 0.00 1.00 1.00 1.00 1.00
# weekday 0.84 0.11 0.07 0.01 0.16 0.80 0.12 0.93 1.00 0.40 0.00 1.00 1.00 1.00
# windspeed 0.00 0.00 0.00 0.87 0.00 0.00 0.00 0.00 0.00 0.29 0.70 0.00 1.00 1.00
# workingday 0.16 0.00 0.10 0.00 0.51 0.87 0.00 0.74 0.15 0.10 0.33 0.61 0.00 1.00
# yr 0.21 0.00 0.00 0.83 0.00 0.96 0.00 0.96 0.20 0.19 0.88 0.75 0.96 0.00
#
# To see confidence intervals of the correlations, print with the short=FALSE option
欢呼声