In my previous post, I used the above dataset to calculate the Pearson’s correlation coefficient between Yield and TKW for: Head(dataset) # Genotype Block Height TKW Yield Whectol The code below loads the necessary packages, the data and transforms the numeric variable ‘Block’ into a factor. The dataset ‘WheatQuality.csv’ is available on ‘gitHub’ it consists of 81 records (plots) and just as many couples of measures in all. For each plot, the collegue who made the experiment recorded several traits, including yield (Yield) and weight of thousand kernels (TKW). It is a genotype experiment, laid out in randomised complete blocks, with 27 wheat genotypes and three replicates. I will use the same example as presented in my previous post, which should allow us to compare the results with those obtained by using more traditional methods of data analyses.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |