pub fn read_sample_data(path: &PathBuf) -> (Vec<String>, Vec<String>, Matrix) {
    let f = File::open(path).expect("couldn't open sample data table");
    let f = BufReader::new(f);

    let mut nvariables = 0_usize;

    let mut table_data: Vec<f64> = Vec::new();
    let mut sample_names: Vec<String> = Vec::new();
    let mut variable_names: Vec<String> = Vec::new();

    for (line_idx, line) in f.lines().enumerate() {
        let line = line.expect("couldn't read line!");

        let ary: Vec<&str> = line.split(',').collect();

        if line_idx == 0 {
            nvariables = ary.iter().len() - 1;

            // First line is the header.
            for (sample_idx, &sample_name) in ary.iter().enumerate() {
                // First row, first column is header for taxa names.  Ignore it.
                if sample_idx > 0 {
                    variable_names.push(sample_name.to_string());
                }
            }
        } else if nvariables != ary.iter().len() - 1 {
            panic!("wrong number of columns for line {}", line_idx + 1);
        } else {
            for (sample_idx, &dat) in ary.iter().enumerate() {
                // First row, first column is header for taxa names.  Ignore it.
                if sample_idx == 0 {
                    sample_names.push(dat.to_string());
                } else {
                    table_data.push(dat.parse().unwrap());
                }
            }
        }
    }

    let nsamples = sample_names.iter().len();

    (
        sample_names,
        variable_names,
        Matrix::from_data(nvariables, nsamples, table_data)
            .unwrap()
            .transpose(),
    )
}
/// Reads R model matrix output.
Reads R model matrix output.
Reads R model matrix output .
pub fn read_sample_data(path: &PathBuf) -> (Vec<String>, Vec<String>, Matrix) {
    let f = File::open(path).expect("couldn't open sample data table");
    let f = BufReader::new(f);
    let mut nvariables = 0_usize;
    let mut table_data: Vec<f64> = Vec::new();
    let mut sample_names: Vec<String> = Vec::new();
    let mut variable_names: Vec<String> = Vec::new();
    for (line_idx, line) in f.lines().enumerate() {
        let line = line.expect("couldn't read line!");
        let ary: Vec<&str> = line.split(',').collect();
        if line_idx == 0 {
            nvariables = ary.iter().len() - 1;
            // First line is the header.
            for (sample_idx, &sample_name) in ary.iter().enumerate() {
                // First row, first column is header for taxa names.  Ignore it.
                if sample_idx > 0 {
                    variable_names.push(sample_name.to_string());
                }
            }
        } else if nvariables != ary.iter().len() - 1 {
            panic!("wrong number of columns for line {}", line_idx + 1);
        } else {
            for (sample_idx, &dat) in ary.iter().enumerate() {
                // First row, first column is header for taxa names.  Ignore it.
                if sample_idx == 0 {
                    sample_names.push(dat.to_string());
                } else {
                    table_data.push(dat.parse().unwrap());
                }
            }
        }
    }
    let nsamples = sample_names.iter().len();
    (
        sample_names,
        variable_names,
        Matrix::from_data(nvariables, nsamples, table_data)
            .unwrap()
            .transpose(),
    )
}
pub fn read_sample_data ( path : & PathBuf ) -> ( Vec < String > , Vec < String > , Matrix ) { let f = File :: open ( path ) . expect ( " " ) ; let f = BufReader :: new ( f ) ; let mut nvariables = 0_usize ; let mut table_data : Vec < f64 > = Vec :: new ( ) ; let mut sample_names : Vec < String > = Vec :: new ( ) ; let mut variable_names : Vec < String > = Vec :: new ( ) ; for ( line_idx , line ) in f . lines ( ) . enumerate ( ) { let line = line . expect ( " " ) ; let ary : Vec < & str > = line . split ( ',' ) . collect ( ) ; if line_idx == 0 { nvariables = ary . iter ( ) . len ( ) - 1 ; // First line is the header. for ( sample_idx , & sample_name ) in ary . iter ( ) . enumerate ( ) { // First row, first column is header for taxa names.  Ignore it. if sample_idx > 0 { variable_names . push ( sample_name . to_string ( ) ) ; } } } else if nvariables != ary . iter ( ) . len ( ) - 1 { panic ! ( " " line_idx 1 ) ; } else { for ( sample_idx , & dat ) in ary . iter ( ) . enumerate ( ) { // First row, first column is header for taxa names.  Ignore it. if sample_idx == 0 { sample_names . push ( dat . to_string ( ) ) ; } else { table_data . push ( dat . parse ( ) . unwrap ( ) ) ; } } } } let nsamples = sample_names . iter ( ) . len ( ) ; ( sample_names , variable_names , Matrix :: from_data ( nvariables , nsamples , table_data ) . unwrap ( ) . transpose ( ) , ) }
Reads R model matrix output.
Reads R model matrix output .
path
&PathBuf