View source: R/data_processing.R
rel_data | R Documentation |
The input must be a Normalized Rootdetection Data Set with columns Factor1, Factor2 and LengthMM present. The function calculates values of grouping variable 2 (Factor2) treatments relative to the median of grouping variable 2 (Factor2) control. Therefore for each grouping variable 1 (Factor1) the median of grouping variable 2 (Factor2) control is used to calculate relative values.
rel_data(root_norm, control = "20")
root_norm |
data.frame; normalized Rootdetection data set |
control |
string; name of the grouping variable 2 (Factor2) control condition |
data.frame; containing data for each grouping variable 1 (Factor1) and grouping variable 2 (Factor2) treatments relative to grouping variable 2 (Factor2) control
# normalize Rootdetection Output
root_norm <- norm_10mm_standard(root_output)
rel_data(root_norm)
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