africamonitor (version 0.2.4)

am_pivot_longer: Reshape Column-Based Data to Long Format

Description

This function automatically reshapes wide (column-based) data into a long format akin to the format of the raw data coming from the database (am_data(..., wide = FALSE)). It can also be used as a general purpose reshaping command - with an additional capability to handle variable labels.

Usage

am_pivot_longer(
  data,
  id_cols = intersect(c("ISO3", .AMT), names(data)),
  to_value = setdiff(names(data), id_cols),
  variable_name = "Series",
  value_name = "Value",
  label_name = "Label",
  na.rm = TRUE,
  variable.factor = TRUE,
  label.factor = TRUE,
  ...
)

Value

A data.table with the reshaped data.

Arguments

data

a wide format data frame where all series have their own column.

id_cols

character. Temporal identifiers of the data. By default all variables in .AMT and "ISO3" are selected.

to_value

character. The names of all series to be stacked into the long format data frame.

variable_name

character. The name of the variable to store the names of the series.

value_name

character. The name of the variable to store the data values.

label_name

character. The name of the variable to store the series labels.

na.rm

logical. TRUE will remove all missing values from the long data frame.

variable.factor, label.factor

logical. TRUE will code the "Series" and "Label" columns as factors, which is more memory efficient.

...

further arguments passed to melt.

See Also

am_pivot_wider, africamonitor

Examples

# \donttest{
# Return all indicators for Kenya and Nigeria from the year 2000 onwards
data <- am_data(c("KEN", "NGA"), from = 2000)
am_pivot_longer(data)
# }