I want to create a column with p-values in order to compare every columns (biomarkers) for the two diets(NND (n= 91) and ADD (n= 56)), but i don't know how to do it.

Screenshot of the data called NordicDiet_baseline:

Data as pdf:

nordicdiet.pdf (2.6 MB)

I have used the following code to filter out NND (diet = 0) and ADD (diet = 1) and calculated means and sd for every column but I don't know if that's even relavent to my question:

```
NordicDiet_baseline <- NordicDiet_raw %>%
filter(visit=="3")
NordicDiet <- NordicDiet_baseline[, 4:22]
NND_subset <- NordicDiet %>%
filter(diet=="0")
NND <- na.omit(NND_subset[,2:19])
ADD_subset <- NordicDiet %>%
filter(diet=="1")
ADD <- na.omit(ADD_subset[,2:19])
colMeans(NND)
colMeans(ADD)
NND %>% summarise_if(is.numeric, sd)
ADD %>% summarise_if(is.numeric, sd)
```