Generating treatment maps for a typical CRD experiment

Hellooo! 

For the last couple of weeks, I have been learning to write some R functions for simple biological systems simulations. Well, I haven't been that successful in that venture, but I surely learned some pretty useful things that we can do in  R w/o spending much time and brain.

Generating  the plot map in a completely randomized desine.

I think experimental designs are the inextricably related with most agricultural studies.  So, at least for me, knowing this code will make my work a bit easier in future.

Here is a code that generates a randomized treatment map for a CRD experiment

> no.treat<- ntrt<- 6
> no.repln<- nrepl<- 4
> trt.samples<- sample(rep(x = 1:no.treat, times = no.repln))
# This will generate random sampls for all the 6 treatments and repeat this for all the 6 replications.
> trt.map<- matrix(trt.samples, nrow = no.repln, ncol = no.treat)
# This will create a matrix of the random samples which is also the plot map of the experiment.
which looks like as follows
> trt.map
     [,1] [,2] [,3] [,4] [,5] [,6]
[1,]    5    1    6    6    5    3
[2,]    2    3    6    2    4    4
[3,]    4    3    2    1    2    5
[4,]    4    1    6    5    1    3
This is pretty easy, isn't it. 




2 comments:

Ananta Acharya said...

Could u go further and include other designs

Subodh said...

I guess it is extremely late for reply. Sure, I could, I will definitely do that when I encounter that problem.

Coz, here we are posting the things we do out of necessity.Right?
So,that will definitely come during our research.