Statistics

atImax	Find the position of the element with the largest value in location, and return the value of the element in the same position in value.
atImin	Find the position of the element with the smallest value in location, and return the value of the element in the same position in value.
avg	Calculate the average of X.
contextSum	Get of positions that are not null in both X and Y, and calculate the sum of the elements in X on these positions.
contextSum2	Get of positions that are not null in both X and Y, and calculate the sum of squares of the elements in X on these positions.
count	size returns the number of elements in a vector or matrix, while count returns the number of non-null elements in a vector/matrix.
covar	Calculate the covariance of X and Y.
covarMatrix	Return a covariance matrix, where the (i, j) entry is the covariance between the columns i and j of X.
crossStat	Return a tuple with the following elements: count(X), sum(X), sum(Y), sum2(X), sum2(Y), sum(X*Y).
cumnunique	Return the cumulative count of unique elements in X.
demean	Center a dataset (zero-centering), and return an object of DOUBLE type with the same dimension as X.
dot	Return the matrix multiplication of X and Y.
ewmCov	Calculate exponentially weighted moving covariance of X and other.
ewmMean	Calculate exponentially weighted moving average.
ewmStd	Calculate exponentially weighted moving standard deviation.
ewmVar	Calculate exponentially weighted moving variance.
gaussianKde	Estimate the probability density of the random variable using the Gaussian kernel from kernel density estimation (KDE).
gaussianKdePredict	Predict the probability density of the input data based on the model generated by gaussianKde.
histogram2d	Compute the bi-dimensional histogram of two data samples.
imax	If X is a vector, return the position of the element with the largest value in X.
imin	If X is a vector, return the position of the minimum value in a vector or a matrix.
kroghInterpolateFit	This function performs polynomial interpolation for a given set of points, ensuring the polynomial passes through all points in the set.
kurtosis	Return the kurtosis of X.
linearInterpolateFit	Perform linear interpolation/extrapolation on a set of points.
mad	If X is a vector, return the average absolute deviation of X.
max	For one input:
maxIgnoreNull	A binary scalar function that returns the maximum by comparing X with Y.
med	If X is a vector, return the median of all the elements in X.
mean	Calculate the average of X.
min	For one input (null values will not be compared with other elements):
minIgnoreNull	A binary scalar function that returns the minimum by comparing X with Y.
mode	If X is a vector, calculate the most frequently occurring value in X.
mmed	Calculate the moving median of X in a sliding window.
nunique	If X is a vector/array vector, return the number of unique elements in X.
percentChange	For each element Xi in X, return (Xi / Xi-n) - 1, representing the percentage changes between elements.
percentile	If X is a vector, return the given percentile of X.
percentileRank	Calculate the percentile (0-100) of a score in a vector with null values ignored.
prod	If X is a vector, return the product of all the elements in X.
quantile	Return values at the given quantile in X.
quantileSeries	Return values at the given quantile in X.
sem	Return unbiased (normalized by N-1) standard error of the mean over X .
skew	Return the skewness of X.
std	If X is a vector, return the (unbiased) sample standard deviation of X.
stdp	If X is a vector, return the population standard deviation of X.
summary	summary generates summary statistics for the input data.
sum	If X is a vector, return the sum of all the elements in X.
sum2	If X is a vector, return the sum of squares of all the elements in X.
sum3	If X is a vector, return the sum of cubes of all the elements in X.
sum4	If X is a vector, return the sum of the fourth powers of all the elements in X.
stat	Return a dictionary about the descriptive statistics of X including avg(mean), max, min, count, median, and stdev.
var	If X is a vector, return the the (unbiased) sample standard variance of X.
varp	If X is a vector, return the population variance of X.
wavg	Calculate the weighted average of X with the weight vector Y.
wc	Count the words in X.
wcovar	Calculate the weighted covariance of X and Y with weights as the weight vector.
wsum	Return the weighted sum of squares of X and Y.