# statistics-colSums: Column Statistics In timeSeries: Rmetrics - Financial Time Series Objects

## Description

A collection and description of functions to compute column statistical properties of financial and economic time series data.

The functions are:

 `colStats` calculates column statistics, `colSums` calculates column sums, `colMeans` calculates column means, `colSds` calculates column standard deviations, `colVars` calculates column variances, `colSkewness` calculates column skewness, `colKurtosis` calculates column kurtosis, `colMaxs` calculates maximum values in each column, `colMins` calculates minimum values in each column, `colProds` computes product of all values in each column, `colQuantiles` computes quantiles of each column.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13``` ```colStats(x, FUN, ...) colSds(x, ...) colVars(x, ...) colSkewness(x, ...) colKurtosis(x, ...) colMaxs(x, ...) colMins(x, ...) colProds(x, ...) colQuantiles(x, prob = 0.05, ...) colStdevs(x, ...) colAvgs(x, ...) ```

## Arguments

 `FUN` a function name. The statistical function to be applied. `prob` a numeric value, the probability with value in [0,1]. `x` a rectangular object which can be transformed into a matrix by the function `as.matrix`. `...` arguments to be passed.

## Value

the functions return a numeric vector of the statistics.

`link{rowStats}`.
 ```1 2 3 4 5 6 7 8``` ```## Simulated Return Data in Matrix Form - x = matrix(rnorm(252), ncol = 2) ## Mean Columnwise Statistics - colStats(x, FUN = mean) ## Quantiles Column by Column - colQuantiles(x, prob = 0.10, type = 1) ```