var2fact: Rearranges Data for Variables as Factors
In rgr: Applied Geochemistry EDA

Description Usage Arguments Details Value Note Author(s) Examples

Rearranges data from a matrix or data frame into a matrix where data are tagged by their variables names as factors. Used to concatenate data for display with functions tbplots.by.var and bwplots.by.var.

1	var2fact(xmat)

xmat

name of the n by p data matrix or data frame to be processed.

If the data for only some of the variables available in an attached matrix or data frame are to be processed use the cbind construct. Thus, temp.mat <- cbind(vname1, vname3, vname6, vname8).

`xx`	a `n * p` by `2` matrix where each of the `n * p` rows contains a value that is paired with its variable name as a factor, see Note below.

The p variables for n cases results in a n * p by 2 matrix, where [1:n, 1] contains the variable name for value[1] and [1:n, 2] contains the values for the n rows in the first column of xmat. Then rows [n+1:2n, 1] contain the variable name for value[2] and [n+1:2n, 2] contain the values for n rows in the second column, and so on.

Robert G. Garrett

## Display, convert data frame and display the result
data(ms.data1)
ms.data1
temp <- var2fact(ms.data1)
temp

## Clean-up
rm(temp)

Loading required package: MASS
Loading required package: fastICA
     ID   MS.1   MS.2
1  CS01   1.71   2.08
2  CS02   1.01   1.17
3  CS03  33.70  28.80
4  CS04 476.00 451.00
5  CS05 444.00 422.00
6  CS06  75.60  80.40
7  CS07   0.68   0.71
8  CS08   1.68   1.37
9  CS09   0.42   0.41
10 CS10  10.80  11.50
11 CS11 179.00 155.00
12 CS12   1.75   1.65
13 CS13   1.87   1.55
14 CS14 400.00 381.00
15 CS15   0.61   0.65
16 CS16  19.30  24.90
      xx.1   xx.2  
 [1,] "ID"   "1"   
 [2,] "ID"   "2"   
 [3,] "ID"   "3"   
 [4,] "ID"   "4"   
 [5,] "ID"   "5"   
 [6,] "ID"   "6"   
 [7,] "ID"   "7"   
 [8,] "ID"   "8"   
 [9,] "ID"   "9"   
[10,] "ID"   "10"  
[11,] "ID"   "11"  
[12,] "ID"   "12"  
[13,] "ID"   "13"  
[14,] "ID"   "14"  
[15,] "ID"   "15"  
[16,] "ID"   "16"  
[17,] "MS.1" "1.71"
[18,] "MS.1" "1.01"
[19,] "MS.1" "33.7"
[20,] "MS.1" "476" 
[21,] "MS.1" "444" 
[22,] "MS.1" "75.6"
[23,] "MS.1" "0.68"
[24,] "MS.1" "1.68"
[25,] "MS.1" "0.42"
[26,] "MS.1" "10.8"
[27,] "MS.1" "179" 
[28,] "MS.1" "1.75"
[29,] "MS.1" "1.87"
[30,] "MS.1" "400" 
[31,] "MS.1" "0.61"
[32,] "MS.1" "19.3"
[33,] "MS.2" "2.08"
[34,] "MS.2" "1.17"
[35,] "MS.2" "28.8"
[36,] "MS.2" "451" 
[37,] "MS.2" "422" 
[38,] "MS.2" "80.4"
[39,] "MS.2" "0.71"
[40,] "MS.2" "1.37"
[41,] "MS.2" "0.41"
[42,] "MS.2" "11.5"
[43,] "MS.2" "155" 
[44,] "MS.2" "1.65"
[45,] "MS.2" "1.55"
[46,] "MS.2" "381" 
[47,] "MS.2" "0.65"
[48,] "MS.2" "24.9"