R BaylorEdPsych软件包中的Little's MCAR测试不起作用 [英] Little's MCAR Test in R BaylorEdPsych package does not work

问题描述

好的，这是交易.我必须在R中使用BaylorEdPsych包来测试我拥有的数据集是否为MCAR.

Okay so here's the deal. I have to use the BaylorEdPsych package in R to test whether the dataset that I have is MCAR or not.

我使用示例数据集(EndersTable1_1)运行了LittleMCAR函数，它运行正常.

I ran the LittleMCAR function in it with the sample dataset (EndersTable1_1) and it worked flawlessly.

当我尝试将已有的数据集运行到函数中时，出现此错误:

When I try to run the dataset that I have into the function I get this error:

Error in eigen(sampmat, symmetric = TRUE) : 
    infinite or missing values in 'x'

我不明白为什么当我的数据集符合样本数据的结构时，这会引发错误.

I don't understand why this would throw an error when my dataset conforms to the structure of the sample data.

顺便说一句，我的数据集是一个时间序列，详细列出了2000年的气候变量和每日分辨率. 这是我的数据集，适合任何想重现此问题的人. https://drive.google.com/open?id=0B8hGFkkZ5DlfZFl4MGxXY1Y2dlE

My dataset by the way is a time series that details climate variables for the year 2000 with daily resolution. Here's my dataset for anyone who wants to reproduce this problem. https://drive.google.com/open?id=0B8hGFkkZ5DlfZFl4MGxXY1Y2dlE

我的代码如下:

install.packages("BaylorEdPsych")
install.packages("mvnmle")

library(BaylorEdPsych)
library(mvnmle)

#<update>
data(EndersTable1_1) #retrieve the enders dataset
view(EndersTable1_1) #view the dataset on R's data viewer
LittleMCAR(EndersTable1_1)
#</update>

LittleMCAR(year_2000) #this is what I named the imported dataset

我做错了什么? 感谢任何答复.

What am I doing wrong? Thanks to anyone who replies.

推荐答案

取出全部为NA的行和全部为NA的列的块之后，此操作成功完成:

After taking out the blocks of rows that were all NA and the column that was all NA, this succeeds:

LittleMCAR(year_2000[ !apply(year_2000, 1, function(x) all(is.na(x))), -10])

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