在R中使用t.test（）时出错-观察次数不足

Question

I try to conduct a t.test, but it gives me such a mistake.
Error using t.test() in R

not enough 'x' observations

The data has only numerical values, no NA. The ratio of groups is 10 to 35. How can this be circumvented? Thanks in advance for the help!

t.test(data$Vrajdeb[data$a=="1"],data$Vrajdeb[data$a=="2"])

reference to data https://1drv.ms/x/s!ApJwAUaohJFdr1ID-QebKTmE_o3K

Answer 1

Here is one way to do it. Note that when I loaded your data in, the column labeled a turns up as X. :

library(dplyr)
library(broom)
> data
# A tibble: 45 x 25
      X. Cinizm Agres Vrajdeb Zavisim Motiv Stimul  Igra Rasslab Podderjka_1
   <int>  <int> <int>   <int>   <int> <int>  <int> <int>   <int>       <int>
 1     1     33    22      17       1     7      6     7      13          15
 2     1     54    38      24       3     8     13     4      13           8
 3     1     44    35      21       6     8     11    10      14           6
...

> data %>% do(tidy(t.test(Vrajdeb~X., data=.)))
   estimate estimate1 estimate2  statistic   p.value parameter  conf.low 
conf.high  method alternative
1 -1.728571      17.3  19.02857 -0.8999865 0.3819658  15.42225 -5.812628  
2.355486 Welch Two Sample t-test   two.sided

Answer 2

You have enough observations but you are not able to subset your data based on column 'a'. This is due to your data getting imported with first column name as Unicode: <U+430> for character 'a', use an index 1 for your column 'a' or rename it as

colnames(data)[1] <- 'a'

Then run the t test.