Function reference • er.helpers

All functions
`a4_height_mm`	A4 useable height.
`a4_width_mm`	A4 useable width.
`add_unused_levels()`	Add a row for each unused factor level to ensure plotly displays all levels in the legend.
`aggregate_with_criteria()` `mean_with_criteria()` `min_with_criteria()` `max_with_criteria()` `sum_with_criteria()`	Calculate an aggregated value taking into account certain exclusion cirteria
`all_columns_to_snakecase()`	Make all columns of a data frame snakecase.
`are_all_the_same()`	Are all values on x the same?
`calc_annual_anomaly()`	Calculate annual anomaly
`check_aws_access()`	Check if aws credentials have been configured and attempt default configuration otherwise
`get_bucket_version_df()`	List bucket contents with versions
`get_likelihood_category()`	Get likelihood category for a p-value
`get_likelihood_terms()`	Translate likely-unlikely to a specified term scale
`get_metadata()`	Retrieve metadata from an object in the data lake. This function is designed to retrieve the attribute information that is attatched to .RDS file types in the write_to_datalake() function.
`get_reference_precipitation()`	Calculate reference precipitation for a reference period/climate normal
`get_season()`	Get the season of a date-time
`get_versions_list()`	Get object versions from an aws s3 bucket recursively
`gridify_mb_data()`	Gridify meshblock data
`in_interval()`	Wether a value is within a specified interval
`ipcc_likelihood_scale`	IPCC likelihood scale
`launch_shiny_in_background()`	Launch a shiny app in the background
`linear_model()`	Linear model for trend analysis
`mann_kendall()`	Mann-Kendall Trend Test
`mfe_datalake_bucket`	MfE Default bucket
`nz`	New Zealand coastline.
`nz_grid_hex_346` `nz_grid_hex_346`	Hexagonal grid sf object with hexagons of 346km2.
`nz_region`	New Zealand coastline intersected with regional bourndaries.
`order_likelihood_levels()`	Orders the levels of a likelihood category factor
`order_season_levels()`	Order season levels
`pal_ea19`	Colour palette for a graph with a nominal categorical variable.
`pal_ea19_alpha2`	Colour palette for a graph that compares a current year to 1 past year.
`pal_ea19_nztcs_c`	Colour palette for a NZTCS category graph.
`pal_ea19_trend2`	Colour palette for a graph of a ordinal categorical trend variable with 2 values.
`pal_ea19_trend3`	Colour palette for a graph of a ordinal categorical trend variable with 3 values.
`pal_ea19_trend5`	Colour palette for a graph of a ordinal categorical trend variable with 5 values.
`pal_point_set1`	Colour palette for categorical variables for points on a map etc.
`pal_point_trend2`	Colour palette for a map of a ordinal categorical trend variable with 2 values.
`pal_point_trend3`	Colour palette for a map of a ordinal categorical trend variable with 3 values.
`pal_point_trend5`	Colour palette for a map of a ordinal categorical trend variable with 5 values.
`pal_snz`	Colour palette for a graph with a nominal categorical variable.
`pal_snz_alpha2`	Colour palette for a graph that compares a current year to 1 past year.
`pal_snz_nztcs_c`	Colour palette for a NZTCS category graph.
`pal_snz_nztcs_s`	Colour palette for a NZTCS subcategory graph.
`pal_snz_trend2`	Colour palette for a graph of a ordinal categorical trend variable with 2 values.
`pal_snz_trend3`	Colour palette for a graph of a ordinal categorical trend variable with 3 values.
`pal_snz_trend5`	Colour palette for a graph of a ordinal categorical trend variable with 5 values.
`precipitation_above_reference()`	Get proportion of rainfall above reference
`prettify_range()`	Makes it easy to get the period for printing or visualisation
`read_csv_datalake()`	Read a CSV file stored in an AWS S3 bucket.
`read_excel_datalake()`	Read a excel file stored in an AWS S3 bucket.
`read_from_datalake()`	Read any type file stored in an AWS S3 bucket.
`round2()`	Round2
`round_preserve_sum()`	Round preserving sum
`sankey_build_data()`	Prepare data to be input into the networkD3 sankeyNetwork function.
`search_datalake()`	Search for keys in the data lake
`sen_slope()`	Sen's slope
`setup_datalake_access()`	Set up access to the data lake programatically.
`shiny_template()`	shiny_template
`signed_sqrt_trans()` `signed_sqrt_trans()`	Signed square root ggplot scale transformation.
`simplify_likelihood_levels()`	Simplify likelihood levels
`standardise_season()`	Standarise season names
`statsnz_likelihood_scale`	Stats NZ likelihood scale
`version_list_as_df()`	Coverts list with object version metadata to a data frame
`write_csv_datalake()`	Write a CSV file as an object in an AWS S3 bucket.
`write_rds_datalake()`	Write an RDS file to the lake. .RDS so the attributes can be saved as metadata. Basic attributes are applied below But you can add your own using attr(). V The function first writes the file to a temp directory therefore, it avoids the unintended consequences of saving the file in the disk.

Reference

All functions