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readme.txt
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readme.txt
######################################################################
#[update at Aug-28, 2012]
1. added acr_agmip0000.R and run_batch0000.R
- acr_agmip0000.R : it is converted but needed to test with bunch of data set
######################################################################
# by Yunchul Jung
# at 8/12/2012
[ Conversion from matlab script to R ]
1. folder structure
-> matlab : original matlab files
-> r : converted r files
-> data : input/output files
2. orginal matlab program
- acr_agmip004.m (size: 13 KB)
- acr_findspot.m (size: 2 KB)
- acr_agmip005.m (size: 4 KB)
- acr_agmipmetrics.m (size: 8 KB)
- acr_agmipload.m (size: 1 KB)
3. test
- run R script files in r folder
-> run_delta004.R
-> run_delta005.R
-> run_metrics.R
4. notes
- R.matlab package should be installed, and loaded when program runs
-> readMat() of R.matlab is used to load matrix file of matlab, epecially for multi-dimensional matrix, because read.table() of R supports only one dimension matix
-> pakage installation : enter "install.package("R.matlab")", and then enter again.
- running speed
-> generally, execution speed is slower than matlab code.
-> Especially, acr_agmip005.R is much slow than others. It seems there is a problem at ln:66 where assigning a value to "newfut[mm,10]". It could not be improved yet.