im sorry to ask so many questions. How would I reformat the script you have 
provided to convert 2686 observations of 2 variables (x and y coordinates) 
into wide format? when i try to alter it i end up with millions of rows. 

On Thursday, August 2, 2018 at 1:32:02 PM UTC-4, Ian F wrote:
>
> I am trying to do an analysis of three specimens. I am using 
> semi-landmarks and having trouble. perhaps someone can point out mt error? 
> these are my results 
>
> Generalized Procrustes Analysis 
> with Partial Procrustes Superimposition 
>
> -4 fixed landmarks 
> 12 semilandmarks (sliders) 
> 2-dimensional landmarks 
> 6 GPA iterations to converge 
> Minimized Bending Energy used 
>
>
> Consensus (mean) Configuration 
>
>                X           Y 
> [1,]  0.51447153 -0.03794928 
> [2,]  0.36957021  0.11431610 
> [3,] -0.11602250  0.19898458 
> [4,] -0.40489951  0.11095030 
> [5,] -0.43738229 -0.09965594 
> [6,] -0.20913543 -0.09698422 
> [7,]  0.04257626 -0.09131803 
> [8,]  0.29799009 -0.04811314 
>
> it should be three individuals with 4 landmarks and 4 sliders each. i want 
> to perform PCA on the procrustes coordinates. my code and data are below. 
> Im new to R and its probably an easy fix im just really confused. any help 
> is greatly appreciated.   
>
>
>
>
>
>
> Code:    Y <- arrayspecs(coordsrformat, k=2, p= ncol(coordsrformat)/2) 
>
> slidermatrix 
>
> Y.gpa <- gpagen(Y,curves=slidermatrix)   
> summary(Y.gpa) 
> plot(Y.gpa) 
>
> Y.gpa <- gpagen(Y,curves=slidermatrix,ProcD=FALSE )   
> summary(Y.gpa) 
> plot(Y.gpa) 
> a<-(Y.gpa$coords) 
> plotTangentSpace(a) 
>
>
>
>
> slider matrix:   
>
> before        slide        after 
> 5        6        7 
> 7        8        1 
> 1        2        3 
> 3        4        5 
> 1        8        7 
> 7        6        5 
> 5        4        3 
> 3        2        1 
> 1        2        3 
> 3        4        5 
> 5        6        7 
> 7        8        1 
>
>
> coordsrformat: 
>
>
> 1630        1827        1530        1549        1198        1345        908   
>      1557        833        1840        1027        1895        1223        
> 1907        1417        1887 
>
> 2767        1081        2633        1581        2139        2047        1693  
>       1753        1535        1159        1841        1067        2151        
> 1009        2437        1071 
>
> 2956        928        2936        1692        2112        2360        1300   
>      1784        1304        1016        1700        888        2084        
> 832        2480        872 
>
>
>
>
>

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