读入函数,根据数据格式的选择函数:

    1. # .txt file: Read tab separated values
    2. my_data <- read.delim(file.choose())
    3. # .csv file: Read comma (",") separated values
    4. my_data <- read.csv(file.choose())
    5. # .csv file: Read semicolon (";") separated values
    6. my_data <- read.csv2(file.choose())
    7. genus = read.csv("./input/abundance/relative_abundance/genus.csv",
    8. header = T,row.names = 1)
    9. genus = read.table("./input/abundance/relative_abundance/genus.xls",
    10. sep = "\t",header = T,row.names = 1)
    11. KEGG_L3 <- read.xlsx("./input/KEGG_L3.xlsx", sheetIndex = 1)