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...