This package is a wrapper for `openxlsx`. It reads entire excel files with all their sheets into a list of data frames (one data frame for each sheet, one list of data frame for one excel file). For creating an excel file, put together all your data frames into a list and give them names for the sheet titles. The `withNames()` function helps during the input by making it possible to alternate name and data frame.

    #devtools::load_all()
    library(xlsx2dfs)
    #> Loading required package: openxlsx
    df1 <- data.frame(genes = c("gene1", "gene2"),
                      count = c(23,  50))
    df2 <- data.frame(genes = c("gene3", "gene4"),
                      count = c(100, 500))
    # write one data frame on one sheet
    dfs2xlsx(withNames("first sheet", df1), "../inst/extdata/test_one_df.xlsx")
    #> Note: zip::zip() is deprecated, please use zip::zipr() instead

    # write more data frames into one file
    dfs2xlsx(withNames("first data frame", df1,
                       "second data frame", df2), "../inst/extdata/test_two_dfs.xlsx")

    # or create a data frame list with the desired names
    # and print into xlsx file
    df.list <- list(`first data frame`=df1,
                    `second data frame`=df2)
    # actually "withNames()" is superfluous ...
    dfs2xlsx(df.list, "../inst/extdata/test_two_dfs1.xlsx")

    # write one data frame into a file
    dfs2xlsx(list(`one data frame`=df1),
             "../inst/extdata/one_df.xlsx")

    # read-in excel file as a data frame list
    dfs.list <- xlsx2dfs("../inst/extdata/test_two_dfs1.xlsx")