SprErr | R Documentation |
Compute the ratio between the spread of the members around the ensemble mean in experimental data and the RMSE between the ensemble mean of experimental and observational data. The p-value and/or the statistical significance is provided by a two-sided Fisher's test.
SprErr(
exp,
obs,
dat_dim = NULL,
memb_dim = "member",
time_dim = "sdate",
pval = TRUE,
sign = FALSE,
alpha = 0.05,
na.rm = FALSE,
ncores = NULL
)
exp |
A named numeric array of experimental data with at least two dimensions 'memb_dim' and 'time_dim'. |
obs |
A named numeric array of observational data with at least two dimensions 'memb_dim' and 'time_dim'. It should have the same dimensions as parameter 'exp' except along 'dat_dim' and 'memb_dim'. |
dat_dim |
A character string indicating the name of dataset (nobs/nexp) dimension. The default value is NULL (no dataset). |
memb_dim |
A character string indicating the name of the member dimension. It must be one dimension in 'exp' and 'obs'. The default value is 'member'. |
time_dim |
A character string indicating the name of dimension along which the ratio is computed. The default value is 'sdate'. |
pval |
A logical value indicating whether to compute the p-value of the test Ho : SD/RMSE = 1 or not. The default value is TRUE. |
sign |
A logical value indicating whether to retrieve the statistical significance of the test Ho: ACC = 0 based on 'alpha'. The default value is FALSE. |
alpha |
A numeric indicating the significance level for the statistical significance test. The default value is 0.05. |
na.rm |
A logical value indicating whether to remove NA values. The default value is FALSE. |
ncores |
An integer indicating the number of cores to use for parallel computation. The default value is NULL. |
A list of two arrays with dimensions c(nexp, nobs, the rest of
dimensions of 'exp' and 'obs' except memb_dim and time_dim), which nexp is
the length of dat_dim of 'exp' and nobs is the length of dat_dim of 'obs'.
If dat_dim is NULL, nexp and nobs are omitted.
$ratio |
The ratio of the ensemble spread and RMSE. |
$p_val |
The p-value of the two-sided Fisher's test with Ho: Spread/RMSE = 1. Only
present if |
exp <- array(rnorm(30), dim = c(lat = 2, sdate = 3, member = 5))
obs <- array(rnorm(30), dim = c(lat = 2, sdate = 3))
sprerr1 <- SprErr(exp, obs)
sprerr2 <- SprErr(exp, obs, pval = FALSE, sign = TRUE)
sprerr3 <- SprErr(exp, obs, pval = TRUE, sign = TRUE)
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