Júlio Hoffimann juliohm

## values.dat
0.009
0.0043
0.0037
0.004
0.0007
0.0017
0.0067
0.0036
0.0
0.0

## svm.csv

          
            x1
            x2
            x3
            y

            
              -0.16485239157797732
              -0.2218786857477146
              0.025657251025896506
              1

            
              -0.14138283354447023
              -0.18115496792737906
              -0.08881228951195215
              2

            
              -0.19156671553489246
              -0.21063046433580623
              -0.2917535547111554
              3

            
              -0.279588288598788
              -0.27721378406398256
              0.015351159741035935
              4

            
              -0.3226797091143479
              -0.3261822936012488
              0.10225411867529889
              2

            
              0.36719732717363746
              0.4162419801073728
              0.15575307734063756
              2

            
              -0.2758953203829891
              -0.2474704632695943
              -0.14546736263944215
              2

            
              -0.271400774910694
              -0.26209306422374024
              -0.005437600507968055
              4

            
              -0.4938512097624689
              -0.3518243528882096
              -0.07185283149402386
              3

## main.jl
# Example adapted from https://github.com/JuliaComputing/JuliaBoxTutorials
# Assumes that Python and R are also installed in the system

# let's compare various implementations of the sum(x) function
x = rand(10^7)
sum(x) # expected result 5×10⁶

#------------------------
# Python implementation
using PyCall

## small-test.csv

          
            band1
            band2
            band3
            band4
            crop

            
              118
              87
              72
              253
              2

            
              155
              121
              172
              193
              3

            
              147
              114
              132
              187
              3

            
              129
              104
              95
              294
              2

            
              105
              64
              42
              293
              3

            
              123
              89
              64
              306
              2

            
              106
              70
              46
              287
              3

            
              128
              93
              71
              307
              2

            
              126
              102
              71
              306
              3

## kb2d.for
C%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
C                                                                      %
C Copyright (C) 2003, Statios Software and Services Incorporated.  All %
C rights reserved.                                                     %
C                                                                      %
C This program has been modified from the one distributed in 1996 (see %
C below).  This version is also distributed in the hope that it will   %
C be useful, but WITHOUT ANY WARRANTY. Compiled programs based on this %
C code may be redistributed without restriction; however, this code is %
C for one developer only. Each developer or user of this source code   %

## profile.out
9     /buildworker/worker/package_linux64/build/src/gf.c:2184; jl_apply_generic
1     /buildworker/worker/package_linux64/build/src/jltypes.c:635; typekey_compare
30140 /buildworker/worker/package_linux64/build/src/task.c:268; start_task
 30140 /buildworker/worker/package_linux64/build/src/julia.h:1536; jl_apply
  30140 /buildworker/worker/package_linux64/build/src/gf.c:2182; jl_apply_generic
   30140 /buildworker/worker/package_linux64/build/src/gf.c:1829; jl_fptr_trampoline
    30140 ./task.jl:259; (::getfield(IJulia, Symbol("##12#15")))()
     30140 /home/juliohm/.julia/packages/IJulia/DL02A/src/eventloop.jl:8; eventloop(::ZMQ.Socket)
      30140 ./essentials.jl:685; invokelatest
       30140 ./essentials.jl:686; #invokelatest#1

## ldd.out
	linux-vdso.so.1 (0x00007fff7f291000)
	libclangAST.so.7 => /usr/lib/../lib/../lib/libclangAST.so.7 (0x00007f7dc2d43000)
	libclangBasic.so.7 => /usr/lib/../lib/../lib/libclangBasic.so.7 (0x00007f7dc2a0e000)
	libclangLex.so.7 => /usr/lib/../lib/../lib/libclangLex.so.7 (0x00007f7dc293f000)
	libclangSema.so.7 => /usr/lib/../lib/../lib/libclangSema.so.7 (0x00007f7dc21a4000)
	libLLVM-7.so => /usr/lib/../lib/../lib/libLLVM-7.so (0x00007f7dbe1db000)
	libstdc++.so.6 => /usr/lib/../lib/../lib/libstdc++.so.6 (0x00007f7dbe04c000)
	libc.so.6 => /usr/lib/../lib/../lib/libc.so.6 (0x00007f7dbde86000)
	libgcc_s.so.1 => /usr/lib/../lib/../lib/../lib/libgcc_s.so.1 (0x00007f7dbde6c000)
	libclangAnalysis.so.7 => /usr/lib/../lib/../lib/../lib/libclangAnalysis.so.7 (0x00007f7dbddbe000)

## bindings.out
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `_res' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `stderr' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `error_one_per_line' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `realloc' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `__morecore' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `__key_encryptsession_pk_LOCAL' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libpthread.so.0 [0]: normal symbol `__libpthread_freeres'
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `__progname_full' [GLIBC_2.2.5]
     32335:	binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]:

## data1D.tsv

          
            x
            value

            
              0.0
              0.0

            
              10.0
              0.1

            
              20.0
              0.2

            
              30.0
              0.3

            
              40.0
              0.4

            
              50.0
              0.5

            
              60.0
              0.4

            
              70.0
              0.3

            
              80.0
              0.2

## CoDaPFA.m
function [B,L,var,fac,E,r,issuccess] = J_CoDaPFA(X,s)
% FA Factor analysis (principal factoring technique)
%
% The reason to favour this method opposite to maximum likelihood
% (Statistics toolbox) is no distributional assumptions. In comparison to
% SPSS program, this provides the same results. We expect identical
% numerical solution, especially advantage of singular value decomposition.
% Initial estimates of communalities are set as squared multiple
% correlations. In iteration process (convergence criterium 0.001, limit
% for iteration 75), communalities are set to one if Heywood case occurs.
x1	x2	x3	y
-0.16485239157797732	-0.2218786857477146	0.025657251025896506	1
-0.14138283354447023	-0.18115496792737906	-0.08881228951195215	2
-0.19156671553489246	-0.21063046433580623	-0.2917535547111554	3
-0.279588288598788	-0.27721378406398256	0.015351159741035935	4
-0.3226797091143479	-0.3261822936012488	0.10225411867529889	2
0.36719732717363746	0.4162419801073728	0.15575307734063756	2
-0.2758953203829891	-0.2474704632695943	-0.14546736263944215	2
-0.271400774910694	-0.26209306422374024	-0.005437600507968055	4
-0.4938512097624689	-0.3518243528882096	-0.07185283149402386	3
	# Example adapted from https://github.com/JuliaComputing/JuliaBoxTutorials
	# Assumes that Python and R are also installed in the system

	# let's compare various implementations of the sum(x) function
	x = rand(10^7)
	sum(x) # expected result 5×10⁶

	#------------------------
	# Python implementation
	using PyCall
band1	band2	band3	band4	crop
118	87	72	253	2
155	121	172	193	3
147	114	132	187	3
129	104	95	294	2
105	64	42	293	3
123	89	64	306	2
106	70	46	287	3
128	93	71	307	2
126	102	71	306	3
	C%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
	C %
	C Copyright (C) 2003, Statios Software and Services Incorporated. All %
	C rights reserved. %
	C %
	C This program has been modified from the one distributed in 1996 (see %
	C below). This version is also distributed in the hope that it will %
	C be useful, but WITHOUT ANY WARRANTY. Compiled programs based on this %
	C code may be redistributed without restriction; however, this code is %
	C for one developer only. Each developer or user of this source code %
	9 /buildworker/worker/package_linux64/build/src/gf.c:2184; jl_apply_generic
	1 /buildworker/worker/package_linux64/build/src/jltypes.c:635; typekey_compare
	30140 /buildworker/worker/package_linux64/build/src/task.c:268; start_task
	30140 /buildworker/worker/package_linux64/build/src/julia.h:1536; jl_apply
	30140 /buildworker/worker/package_linux64/build/src/gf.c:2182; jl_apply_generic
	30140 /buildworker/worker/package_linux64/build/src/gf.c:1829; jl_fptr_trampoline
	30140 ./task.jl:259; (::getfield(IJulia, Symbol("##12#15")))()
	30140 /home/juliohm/.julia/packages/IJulia/DL02A/src/eventloop.jl:8; eventloop(::ZMQ.Socket)
	30140 ./essentials.jl:685; invokelatest
	30140 ./essentials.jl:686; #invokelatest#1
	linux-vdso.so.1 (0x00007fff7f291000)
	libclangAST.so.7 => /usr/lib/../lib/../lib/libclangAST.so.7 (0x00007f7dc2d43000)
	libclangBasic.so.7 => /usr/lib/../lib/../lib/libclangBasic.so.7 (0x00007f7dc2a0e000)
	libclangLex.so.7 => /usr/lib/../lib/../lib/libclangLex.so.7 (0x00007f7dc293f000)
	libclangSema.so.7 => /usr/lib/../lib/../lib/libclangSema.so.7 (0x00007f7dc21a4000)
	libLLVM-7.so => /usr/lib/../lib/../lib/libLLVM-7.so (0x00007f7dbe1db000)
	libstdc++.so.6 => /usr/lib/../lib/../lib/libstdc++.so.6 (0x00007f7dbe04c000)
	libc.so.6 => /usr/lib/../lib/../lib/libc.so.6 (0x00007f7dbde86000)
	libgcc_s.so.1 => /usr/lib/../lib/../lib/../lib/libgcc_s.so.1 (0x00007f7dbde6c000)
	libclangAnalysis.so.7 => /usr/lib/../lib/../lib/../lib/libclangAnalysis.so.7 (0x00007f7dbddbe000)
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `_res' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `stderr' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `error_one_per_line' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `realloc' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `__morecore' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `__key_encryptsession_pk_LOCAL' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libpthread.so.0 [0]: normal symbol `__libpthread_freeres'
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]: normal symbol `__progname_full' [GLIBC_2.2.5]
	32335: binding file /usr/lib/libc.so.6 [0] to /usr/lib/libc.so.6 [0]:
	x	value
	0.0	0.0
	10.0	0.1
	20.0	0.2
	30.0	0.3
	40.0	0.4
	50.0	0.5
	60.0	0.4
	70.0	0.3
	80.0	0.2
	function [B,L,var,fac,E,r,issuccess] = J_CoDaPFA(X,s)
	% FA Factor analysis (principal factoring technique)
	%
	% The reason to favour this method opposite to maximum likelihood
	% (Statistics toolbox) is no distributional assumptions. In comparison to
	% SPSS program, this provides the same results. We expect identical
	% numerical solution, especially advantage of singular value decomposition.
	% Initial estimates of communalities are set as squared multiple
	% correlations. In iteration process (convergence criterium 0.001, limit
	% for iteration 75), communalities are set to one if Heywood case occurs.