measure.cor | R Documentation |
Function to compute the temporal correlation between the observed and predicted time series.
measure.cor(indexObs = NULL, indexPrd = NULL, obs, prd, dates,
method = c("pearson", "kendall", "spearman"), deseason = NULL,
aggregation = NULL)
indexObs |
index computed from the observations |
indexPrd |
index computed from the predictions |
obs |
A vector of observations |
prd |
A vector of predictions |
dates |
dates |
method |
Type of correlation applied. Options: |
deseason |
Default to |
aggregation |
temporal aggregation options |
A float number corresponding to the correlation coefficient of choice between the predicted and observed series.
J. Bedia, D. San-Martin, S. Herrera
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