Remove full paths
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@ -15,12 +15,12 @@ impute_func <- function(X, ind) {
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# Read only the first row of the file.
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# Read only the first row of the file.
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# This allows us to obtain the number of columns.
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# This allows us to obtain the number of columns.
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first_row <- fread2("/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data.csv",
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first_row <- fread2("Test_Genotype_Data.csv",
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nrows = 1)
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nrows = 1)
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col_num <- ncol(first_row)
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col_num <- ncol(first_row)
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# Read the entire file using big_read.
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# Read the entire file using big_read.
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gen_data <- big_read("/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data.csv",
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gen_data <- big_read("Test_Genotype_Data.csv",
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select = 1:col_num,
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select = 1:col_num,
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backingfile = "G2F_Genotype_Data",
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backingfile = "G2F_Genotype_Data",
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progress = TRUE,
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progress = TRUE,
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@ -69,7 +69,7 @@ big_apply(gen_data,
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# Write the newly-imputed data to a new file.
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# Write the newly-imputed data to a new file.
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big_write(gen_data,
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big_write(gen_data,
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"/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data_Imputed.csv",
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"Test_Genotype_Data_Imputed.csv",
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every_nrow = 100,
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every_nrow = 100,
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progress = interactive())
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progress = interactive())
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@ -4,13 +4,13 @@ library(data.table)
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## Data Loading [Predictors]
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## Data Loading [Predictors]
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# Genotype Data
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# Genotype Data
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gen_path <- "/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Genotype_Data_Imputed.csv"
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gen_path <- "Test_Genotype_Data_Imputed.csv"
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gen_data <- fread(gen_path, sep = ",", header = FALSE)
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gen_data <- fread(gen_path, sep = ",", header = FALSE)
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## Data Loading [Traits]
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## Data Loading [Traits]
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# Phenotype Data
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# Phenotype Data
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phn_path <- "/home/ami/Projects/P0004 - caret and bigstatsR Workshop/Test_Phenotype_Data.csv"
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phn_path <- "Test_Phenotype_Data.csv"
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phn_data <- fread(phn_path, sep = ",", header = FALSE)
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phn_data <- fread(phn_path, sep = ",", header = FALSE)
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## Data Overview
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## Data Overview
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