# averageSameXs: Unifies all same X observations In ACCLMA: ACC & LMA Graph Plotting

## Description

The function unifies all the observations with the same X values into one obseravtion with regard to the weights of each observation

## Usage

 `1` ```averageSameXs(mat) ```

## Arguments

 `mat` A matrix containing the X,Y,Weight columns after the calcWeights function been used on it

## Value

Data set with only row for each X value

## Author(s)

Tal Carmi, Liat Gaziel

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35``` ```d <- c(1,1,3,4) e <- c(5,6,7,8) f <- c(1,1,1,1) mydata <- data.frame(d,e,f) names(mydata) <- c("X","Y","Weight") averageSameXs(mydata) ## The function is currently defined as function (mat) { n <- size(mat) temp <- matrix(NA, nrow = n, ncol = 3) line <- 1 i <- 1 while (i <= n) { j <- i sumY <- 0 sumWeights <- 0 while (j <= n & mat[i, 1] == mat[j, 1]) { sumY <- sumY + mat[j, 2] * mat[j, 3] sumWeights <- sumWeights + mat[j, 3] j <- j + 1 } temp[line, 1] <- mat[i, 1] temp[line, 2] <- sumY/sumWeights temp[line, 3] <- sumWeights line <- line + 1 i <- j } temp <- as.data.frame(temp[1:(line - 1), ]) names(temp)[1] = "X" names(temp)[2] = "Y" names(temp)[3] = "Weights" return(temp) } ```

ACCLMA documentation built on May 2, 2019, 8:49 a.m.