After writing the command

var.test(vari1, vari2)

comparing my variances I obtained the error :

I am unable to find out how to fix this.

this stack question wasn't the solution

After writing the command

var.test(vari1, vari2)

comparing my variances I obtained the error :

I am unable to find out how to fix this.

this stack question wasn't the solution

What is the result of running

```
str(vari1)
```

Please post the output of that command.

What code assigns a value to vari1? Can you show a complete example of making vari1 and vari2 and then running var.test()?

@FJCC Yes, my code is the following:

```
vari1 <- var(med_vect)
vari1
vari2 <- var(placebo_vect)
vari2
vari3 <- var(recup_vect)
vari3
# Comparaison
var.test(vari1, vari2)
```

I initialized my vectors with vect <- c(...).

You cannot use the calculated variances in var.test(). You should give var.test() the data vectors. Here is an example that reproduces your error and also successfully does the calculation.

```
#Invent some data
med_vec <- rnorm(30)
placebo_vec <- rnorm(30)
#Calculate the variance
vari1 <- var(med_vec)
vari2 <- var(placebo_vec)
#Cannot test just the variance values
var.test(vari1, vari2)
Error in var.test.default(vari1, vari2) : not enough 'x' observations
#It works to test the data vectors
var.test(med_vec, placebo_vec)
F test to compare two variances
data: med_vec and placebo_vec
F = 1.4777, num df = 29, denom df = 29, p-value = 0.2987
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
0.7033488 3.1047106
sample estimates:
ratio of variances
1.477733
```

Also, you do not need to initiate vectors with c(). A simple assignment of a value is enough.

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