covariance | R Documentation |
x
Calculates the covariance matrix of the normally standardized variables obtained from the columns of x
covariance(
x,
data = x,
cpf = NULL,
mean = 0,
sd = 1,
step = NULL,
prec = 10^-4,
use = "pairwise.complete.obs",
type = 3,
extremes = TRUE,
sample = NULL,
origin_x = NULL,
origin_data = origin_x
)
x |
variable |
data |
a sample of data on which a non-parametric pghjjrobability distribution is estimated |
cpf |
cumulative probability distribution. If |
mean |
mean (expected value) of the normalized random variable. Default is 0. |
sd |
standard deviation of the normalized random variable. Default is 1. |
step |
vector of values in which step discontinuities of the cumulative probability function occur. Default is |
prec |
amplitude of the neighbourhood of the step discontinuities where cumulative probability function is treated as non continuous. |
use |
see |
type |
see |
extremes |
logical variable.
If
where |
sample |
information about sample or probability distribution. Default is |
origin_x |
date corresponding to the first row of |
origin_data |
date corresponding to the first row of |
a matrix with the normalized variable or its inverse
Emanuele Cordano, Emanuele Eccel
normalizeGaussian_severalstations
,normalizeGaussian
@note It applies normalizeGaussian_severalstations
to x
and data
and then calculates the covariances among the column.
See the R code for further details
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