Nothing
## ----setup, include=FALSE-----------------------------------------------------
library(matconv)
library(knitr)
knitr::opts_chunk$set(fig.pos='center', echo=TRUE, comment='>')
matCode <- c("function [out] = csvReadPretty(csvPath, hd)",
"\tfid = fopen(csvPath,'r');",
" parse = textscan(fid, '%s','delimiter','\\n');",
" parse = parse{1};",
" thing = 5.4",
" fclose(fid);",
" if(isempty(parse) || isempty(parse{1}))",
" out = parse;",
" end",
" ",
" for (row = (hd+1):length(parse))",
" line = [parse{row} ','];",
" commas = regexp(line,',');",
" col = 2;",
" bef = commas(1);",
" if bef~=1",
" out{row-hd,1} = line(1:bef-1);",
" end",
"",
" for ca = commas(2:end)",
" %if the commas are next to each other just add col",
"",
" if (bef+1 ~= ca)",
" out{row,col} = line(bef+1:ca-1);",
"",
" end",
" col=col+1;",
" bef = ca;",
" end",
"",
" end",
"",
"",
"end")
## ----basic--------------------------------------------------------------------
out <- mat2r(matCode)
names(out)
## ----functionMaps-------------------------------------------------------------
hMaps <- makeFuncMaps(
pathDict = system.file("extdata", "HiebelerDict.txt", package = "matconv"))
## ----dataConverters-----------------------------------------------------------
source(system.file("extdata", "defDataConv.R", package = "matconv"))
## ----finish-------------------------------------------------------------------
out <- mat2r(matCode, funcConverters = hMaps, dataConverters = dataConvs, verbose = 2)
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