---
title: "licoread"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{licoread}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

# Importing the data
```{r import}
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
```{r fluxible-81x}
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"
)
```

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.

```{r fluxible-82z}

list_gases(gas_df_82z)

ch4_dry <- licoread_to_fluxible(
  gas_df_82z,
  "LI-7810_CH4_DRY",
  datetime_col = c("LI-8250_DATE", "LI-8250_TIME")
)
```
