# movCountUE: Weighted Simple Moving Count for Unevenly Spaced Time Series In RcppMovStat: Fast Moving Statistics Calculation

## Description

This function returns A matrix: the first column is the position, the second column the input vector, and third column Moving Count of the given vector. The weight argument is optional.

## Usage

 ```1 2 3 4``` ```movCountUE(vec, pos, n = 1L, ss = 1L, na_rm = FALSE, sizeD = FALSE, align = "left") movCountUEr(vec, pos, n = 1L, ss = 1L, na_rm = FALSE, sizeD = FALSE) ```

## Arguments

 `vec` A numeric vector. `pos` A numeric vector with all integers. Its length must be the SAME as vec. N.B. We use integers to represent the (relative) positions of every point. `n` An integer: moving window size, with 1 as default `ss` An integer: step size, only calculating at points with an equal distance ss. Namely, there are ss-1 number between each two 'consecutive' points `na_rm` logical. Should missing values (including NaN) be removed? `sizeD` logical. Only applied when ss > 1, it decides whether to get a result of smaller size. If sizeD = T, align does not affect the output. `align` A string denotes how to align the moving average, three options: "left", "middle", "right"

## Details

This function counts the number of non-missing values for each moving window. It is especially designed for vec vector with missing values. Otherwise, it will return a trivial vector with all elements n.
This function is more helpful than `movCount`, as we would have missing values for an Unevenly Spaced Time Series.
For matrix details, please refer to details of `movMeanUE`.

## Value

This function returns A MATRIX of size: L*3, where L is the length of vector, or of size: L1*3, where L1 = `ceiling`((nrow - n + 1)/ss), (when sizeD = T). In the matrix, the first column denotes the position, the second column the original vector, and the third column the moving average.

## Functions

• `movCountUEr`: An function equivalent to `movCountUE(..., align = "right")`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```movCountUEr(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), 2) movCountUEr(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), n = 2, na_rm = TRUE) movCountUEr(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), n = 2, ss = 3, na_rm = TRUE, sizeD = TRUE) movCountUE(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), n = 2, ss = 3, na_rm = TRUE, align = "right") movCountUE(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), n = 2, ss = 3, na_rm = TRUE, sizeD = TRUE, align = "right") movCountUEr(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), n = 2, ss = 3, na_rm = TRUE) movCountUEr(c(1, 4, 3, NA, 8), pos = c(1, 2, 7, 8, 9), n = 2, ss = 3, na_rm = TRUE, sizeD = TRUE) ```

RcppMovStat documentation built on Jan. 30, 2018, 5:04 p.m.