Read data and metadata based on `download_d1_data()` file structure

Reads data along with metadata into your R environment based on [download_d1_data()] file structure.

Usage

read_d1_files(folder_path, fnc = "read_csv", ...)

Arguments

folder_path

(character) Path to a directory where data and metadata are located.

fnc

(character) Function to be used to read the data (default is [readr::read_csv()]).

...

Parameters to pass into the function specified in `fnc`.

Value

(list) Named list containing data and metadata as data frames.

See also

[download_d1_data()] [download_d1_data_pkg()]

Examples

data_folder <- system.file(file.path("extdata", "test_data"), package = "metajam")
soil_moist_data <- read_d1_files(data_folder)
#> Rows: 21 Columns: 11
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr  (1): Date
#> dbl (10): Unmanipulated Moisture (cm3 cm-3), Unmanipulated Moisure (SE), Unb...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Rows: 11 Columns: 9
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (9): attributeName, attributeDefinition, formatString, measurementScale,...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> Rows: 17 Columns: 2
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (2): name, value
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

# You can specify the function you would like to use to read the file and pass parameters
soil_moist_data_skipped <- read_d1_files(data_folder, "read.csv",
                                         skip = 8, stringsAsFactors = FALSE)