# licoread

# Importing the data

    library(licoread)
    # this step is not needed if you know where your data are
    path <- system.file("extdata/82z", package = "licoread")
    # provide the location of your raw files to licoread
    data <- licoread(path)

    # if your location containes more than one file type, you will have to specify
    # which files licoread should read
    path <- system.file("extdata/mixed_files", package = "licoread")
    gas_df_82z <- licoread(path, file_type = "82z")

# Making a fluxible-friendly dataframe

    path_81x <- system.file("extdata/81x", package = "licoread")
    gas_df_81x <- licoread(path_81x)

    co2_df <- licoread_to_fluxible(
      gas_df_81x,
      "CO2",
      datetime_col = "Date"
    )
    #> File type is 81x.
    #> Unnesting the data...
    #> Formatting datetime column...
    #> Looking for start and end of each measurement...

With the 82z file type, the name of measured gases is not so intuitive. You can use the `list_gases()` function to list all the gases present in the dataset.

    list_gases(gas_df_82z)
    #> File type is 82z.
    #> [1] "LI-7810_CH4_DRY" "LI-7810_CO2_DRY" "LI-7820_N2O_DRY" "LI-7825_CO2"

    ch4_dry <- licoread_to_fluxible(
      gas_df_82z,
      "LI-7810_CH4_DRY",
      datetime_col = c("LI-8250_DATE", "LI-8250_TIME")
    )
    #> File type is 82z.
    #> Unnesting the data...
    #> Selecting the focus gas...
    #> Formatting datetime column...
    #> Looking for start and end of each measurement...