Calculates the appropriate FY value of each observation

Description

Calculates the aggregated mean Y value of each observation by summing the F(Y) value of the previous observation with the Y*Weight of the current observation

Usage

calcFY(mat)

Arguments

Value

A matrix containg the newely added FY column

Author(s)

Tal Carmi, Liat Gaziel

Examples

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")
mydata<-calcWeights(mydata)
mydata<-averageSameXs(mydata)
mydata<-calcFX(mydata)
calcFY(mydata)

## The function is currently defined as
function (mat) 
{
    mat[1, 5] = mat[1, 2] * mat[1, 3]
    n <- size(mat)
    for (i in 2:n) {
        mat[i, 5] = mat[i - 1, 5] + mat[i, 2] * mat[i, 3]
    }
    names(mat)[5] <- "FY"
    return(mat)
  }

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> library(ACCLMA)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ACCLMA/calcFY.Rd_%03d_medium.png", width=480, height=480)
> ### Name: calcFY
> ### Title: Calculates the appropriate FY value of each observation
> ### Aliases: calcFY
> ### Keywords: ~kwd1 ~kwd2
> 
> ### ** Examples
> 
> 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")
> mydata<-calcWeights(mydata)
> mydata<-averageSameXs(mydata)
> mydata<-calcFX(mydata)
> calcFY(mydata)
  X   Y Weights   FX   FY
1 1 5.5    0.50 0.50 2.75
2 3 7.0    0.25 0.75 4.50
3 4 8.0    0.25 1.00 6.50
> 
> ## The function is currently defined as
> function (mat) 
+ {
+     mat[1, 5] = mat[1, 2] * mat[1, 3]
+     n <- size(mat)
+     for (i in 2:n) {
+         mat[i, 5] = mat[i - 1, 5] + mat[i, 2] * mat[i, 3]
+     }
+     names(mat)[5] <- "FY"
+     return(mat)
+   }
function (mat) 
{
    mat[1, 5] = mat[1, 2] * mat[1, 3]
    n <- size(mat)
    for (i in 2:n) {
        mat[i, 5] = mat[i - 1, 5] + mat[i, 2] * mat[i, 3]
    }
    names(mat)[5] <- "FY"
    return(mat)
}
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>