Hello Everyone,

Using = Pluto 0.17.*

```
using Combinatorics, StatsBase
```

Am working with the following DF

```
P1 = DataFrame(Col1 = rand(1:5:100,10), Col2 = rand(1:3:150,10), Col3=rand(1:4:250,10)
```

and another dataframe where the rows

represent the Mean of P1.

```
P2 = DataFrame(Mean = [100,120,125,115,120,110,100,115,130,120]...)
```

I imported and stored my control and series groups

```
control = P2.Mean
Col1 = collect(P1[1,:])
Col2 = collect(P1[2,:])
Col3 = collect(P1[3,:])
```

I then concatenated and combined all observations into one array

```
subGroups = collect(combinations([control;Col1; Col2;Col3],3))
```

3 represents the number of observations (across the columns)

I calculated the mean for all my records

```
meanCol1 = mean(Col1)
meanCol2 = mean(Col2)
meanCol3 = mean(Col3)
```

I encounter an error when I attempt to

find the p-value for each record using

```
pVAL1 = sum([mean(i) >= meanCol1 for i in subGroups])/ length(subGroups)
pVAL2 = sum([mean(i) >= meanCol2 for i in subGroups])/length(subGroups)
pVAL3 = sum([mean(i) >= meanCol3 for i in subGroups])/length(subGroups)
```

The error reads:

```
DimensionMismatch("dimensions must match: a has dims (Base.OneTo(10),), b has dims (Base.OneTo(3),), mismatch at 1")
```

If you need the Stacktrace let me know.

Any suggestions?