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barplot of summary stats on special areas and features at the sites

Source: R/ejam2areafeatures_FLAGGED_FUNCTIONS.R
ejam2barplot_areafeatures.Rd

Summary of whether residents at the analyzed locations are more likely to have certain types of features (schools) or special areas (Tribal, nonattainment, etc.)

Usage

ejam2barplot_areafeatures(
  ejamitout,
  main =
    "% of analyzed population that lives in blockgroups with given features or that overlap given area type",
  ylab = "Ratio of Indicator in Analyzed Locations / in US Overall",
  shortlabels = NULL
)

Arguments

ejamitout

output from ejamit()

main

optional title for plot

ylab

optional y axis label

shortlabels

optional alternative labels for the bars

Value

ggplot2 plot

Details

See varinfo(c(names_featuresinarea, names_flag, names_criticalservice))[,c("longname", "varlist")]

These are the indicator summary stats shown:

  • "Number of Schools"

  • "Number of Hospitals"

  • "Number of Worship Places"

  • "Flag for Overlapping with Tribes"

  • "Flag for Overlapping with Non-Attainment Areas"

  • "Flag for Overlapping with Impaired Waters"

  • "Flag for Overlapping with CEJST Disadvantaged Communities"

  • "Flag for Overlapping with EPA IRA Disadvantaged Communities"

  • "Flag for Overlapping with Housing Burden Communities"

  • "Flag for Overlapping with Transportation Disadvantaged Communities"

  • "Flag for Overlapping with Food Desert Areas"

  • "% Households without Broadband Internet"

  • "% Households without Health Insurance"

See also

ejam2areafeatures() batch.summarize()

Examples

out <- testoutput_ejamit_1000pts_1miles
ejam2barplot_areafeatures(out)

shortlabels = EJAM:::flagged_areas_shortlabels_from_ejam(out)
ejam2barplot_areafeatures(out, shortlabels = shortlabels)