Question

我有此数据集，在这里我想比较变量，以查看是否有任何类别的类别对各个分类变量有意义。当我使用以下代码时，R返回一条警告消息，指出p值可能是错误的。我对卡方的格式不正确吗？

df<-(group, gender, race, handedness
1, 0, 3, 0
1, 1, 3, 1
2, 1, 3, 0
2, 1, 3, 0
3, 0, 2, 1
3, 0, 2, 0)

# Is Gender significant among groups
gendertab<-table(df$gender, df$group)
chisq.test(gendertab)
# Is Race significant
racetab<-table(df$race, df$group)
chisq.test(racetab)
# Is Handedness significant
handtab<-table(df$handedness, df$group)
chisq.test(handtab)

Answer 1

尝试使用参数simulate.p.value = TRUE，并将结果与fisher.test（R manual page或Wikipedia）进行比较。他们似乎彼此同意。

# Is Gender significant among groups
gendertab<-table(df$gender, df$group)
fisher.test(gendertab)
chisq.test(gendertab, simulate.p.value = TRUE)

# Is Race significant
racetab<-table(df$race, df$group)
fisher.test(racetab)
chisq.test(racetab, simulate.p.value = TRUE)

# Is Handedness significant
handtab<-table(df$handedness, df$group)
fisher.test(handtab)
chisq.test(handtab, simulate.p.value = TRUE)

数据。

df <- read.csv(text = "
group, gender, race, handedness
     1, 0, 3, 0
     1, 1, 3, 1
     2, 1, 3, 0
     2, 1, 3, 0
     3, 0, 2, 1
     3, 0, 2, 0")

如何设置表格和/或卡方的格式以测试类别变量之间的重要性

1 个答案: