RanaivosonHerimanitra
/ impute.cpp
Last active
January 4, 2016 02:29
This code written with the 'Rcpp' package replaces NA's values of numeric/integer columns by their mean. It's designed to work with big dataframe with thousand of columns and rows.
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| #include <Rcpp.h> | |
| using namespace Rcpp; | |
| // [[Rcpp::export]] | |
| List modiframe(DataFrame& df ) { | |
| //nrow and ncol of the dataframe: | |
| int nrow = df.nrows(), ncol= df.size() ; | |
| double moy(0); | |
| //define an empty list~dataframe |
RanaivosonHerimanitra
/ GetSampleO-SRS.R
Last active
January 3, 2016 16:39
After the determination of the sample size of each Strata, this function built with 'data.table' package samples units.
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| require(data.table) | |
| mysample=alloc_opti_data.table() | |
| get_echantillon_data.table=function( | |
| dataset=yourDataset, | |
| alea=1435, | |
| set.alea=TRUE, | |
| strate="strate2013", | |
| eff=mysample[,list(strate2013,nh=round(nh))]) | |
| { | |
| if (set.alea==TRUE) { |
RanaivosonHerimanitra
/ StratifiedRandomSampling.R
Last active
January 3, 2016 13:29
built with 'data.table' package, this function aims to determine the number of sample to be surveyed in each strata using Optimal Stratified Random Sampling ( à la Neyman). Inputs include the raw dataset that contains information about strata, the name of the strata variable in this dataset and another dataset containing standard deviation of a …
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| require(data.table) | |
| alloc_opti_data.table=function(n=1000 | |
| ,dataset=ese_op2013_reste | |
| ,strate="strate2013" | |
| ,sd=ecart_type ) | |
| { | |
| #count obs per strata to form Nh: | |
| dataset=data.table(dataset) | |
| output=dataset[,.N,by=strate] |
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