I am trying to perform a two sided t-test with R.
This is my data as CSV (called "laegern" in the code):
coverage;type;P
grassland;litter;0.0965
grassland;topsoil;0.0762
grassland;subsoil;0.071
grassland;litter;0.0973
grassland;topsoil;0.0626
grassland;subsoil;0.0541
grassland;litter;0.0769
grassland;topsoil;0.0558
grassland;subsoil;0.0584
forest;litter;0.0749
forest;topsoil;0.0519
forest;subsoil;0.0315
forest;litter;0.0637
forest;topsoil;0.0445
forest;subsoil;0.0412
forest;litter;0.0769
forest;topsoil;0.0482
forest;subsoil;0.042
And this my code:
library(ggpubr)
....
t.test(laegern$P~laegern$type =="litter", var.equal = TRUE, alternative = "two.sided")
Everything from importing, plotting etc. is working, but the code for the statistical test does not take the right values.
The aim is to make a t-test for the value "P" with "litter" comparing "grassland" and "forest". The same should as well be done for the "topsoil" and "subsoil".
Can anyone help?
Thanks a lot a nice evening.
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