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LAPOP Stacked Bar Graph Pre-Processing

lpr_stack.Rd

This function creates dataframes which can then be input in lapop_stack() for plotting variables categories with a stacked bar graph using LAPOP formatting.

Usage

lpr_stack(
  data,
  outcome,
  xvar = NULL,
  sort = "y",
  order = "hi-lo",
  filesave = "",
  keep_nr = FALSE
)

Arguments

data

The data that should be analyzed. It requires a survey object from lpr_data() function.

outcome

Vector of variables be plotted.

xvar

Character. Outcome variable will be broken down by this variable. Default is NULL

sort

Character. On what value the bars are sorted: the x or the y. Options are "y" (default; for the value of the outcome variable), "xv" (for the underlying values of the x variable), "xl" (for the labels of the x variable, i.e., alphabetical).

order

Character. How the bars should be sorted. Options are "hi-lo" (default) or "lo-hi".

filesave

Character. Path and file name to save the dataframe as csv.

keep_nr

Logical. If TRUE, will convert "don't know" (missing code .a) and "no response" (missing code .b) into valid data (value = 99) and use them in the denominator when calculating percentages. The default is to examine valid responses only. Default: FALSE.

Value

Returns a data frame, with data formatted for visualization by lapop_stack

Author

Robert Vidigal, robert.vidigal@vanderbilt.edu

Examples


if (FALSE) lpr_stack(data = gm, outcome = c("countfair1", "countfair3")) # \dontrun{}
if (FALSE) lpr_stack(data = gm, outcome = "pese1", xvar="year") # \dontrun{}