prepare_others.Rd将其他数据库来源文件, 转换成mr分析.txt文件 转换成smr分析.ma文件
prepare_others(
file_path,
out_path = "./",
generate_mr = T,
generate_smr = T,
sep = "\t",
comment = "#",
col_SNP = "",
col_effect_allele = "",
col_other_allele = "",
col_eaf = "",
col_beta = "",
col_se = "",
col_pval = "",
col_samplesize = "",
col_chr = "",
col_pos = "",
col_Phenotype = NULL,
sample_size = NULL
)需要转换成mr或smr标准格式的文件,可以是.gz文件也可以是文本文件。 如果确定是同一批GWAS数据,源数据的数据格式和形式一致,列名一致,可以输入1个或者多个待处理文件。
输出文件的路径,默认为当前工作目录
是否同时输出用于mr分析的标准文件.txt,默认值为T
是否同时输出用于smr分析的标准文件.ma,默认值为T
文件分割符,默认"\t"。
注释符号,默认"#"
snp列名映射
effect_allele 列名映射
other_allele 列名映射
eaf 列名映射
beta 列名映射
se 列名映射
pval 列名映射
samplesize 列名映射
chr 列名映射
pos 列名映射
Phenotype列名映射,默认NULL,不取值
样本量,默认读取文件样本量,如填写,使用该样本量
输出mr标准格式的.txt文件默认当前工作文件夹;输出smr标准格式的.ma文件默认当前工作文件夹
# 单个文件预处理
prepare_others(file_path = "acyp2_12812_25.txt.gz",
out_path = "./",
generate_smr = F,
col_SNP = "rsid",
col_effect_allele = "Allele1",
col_other_allele = "Allele2",
col_eaf = "Freq1",
col_beta = "Effect",
col_se = "StdErr",
col_pval = "Pvalue",
col_samplesize = "TotalSampleSize",
col_chr = "chr",
col_pos = "pos")
# 多个文件预处理。一定要保证是同一批数据,数据格式和形式一致,列名一致。
prepare_others(file_path = c("acyp2_12812_25.txt.gz","ada11_6586_19.txt.gz","ada15_15455_40.txt.gz"),
out_path = "./",
generate_smr = F,
col_SNP = "rsid",
col_effect_allele = "Allele1",
col_other_allele = "Allele2",
col_eaf = "Freq1",
col_beta = "Effect",
col_se = "StdErr",
col_pval = "Pvalue",
col_samplesize = "TotalSampleSize",
col_chr = "chr",
col_pos = "pos")