library(hatstats)
library(hatviz)
config_file <- system.file('studies/NIRPC HTS.yaml', package = 'hatstats')
hts_data <- read_data(config_file)
# hts_data <- read_data(config = "study_config.yaml")
#================================================================================================================================================#
#### Tables ####
#================================================================================================================================================#
#=================================================================================#
# Table 1. Distribution of travel dates =====
tbl1 <- summarize_data(
hts_data,
agg = 'household_count',
by = 'travdate'
)
tbl1[, N := NULL]
make_table(tbl1, confidence = 0.95)
# tbl1_html <- make_table(tbl1, confidence = 0.95)
# html_table_to_docx(tbl1_html, 'test.docx')
#=================================================================================#
# Table 2. Sample Distributions =====
#=================================================================================#
# Table 3. Data Collection Process Description =====
#=================================================================================#
# Table 4. Data Collection Process Description (Conitnued) =====
#=================================================================================#
# Table 5. Data Elements Collected =====
#=================================================================================#
# Table 6. Item Non-response for Recruitment Questions =====
#=================================================================================#
# Table 7. Item Non-response for Retrieval/Travel Characteristic Questions =====
#=================================================================================#
# Table 8. Stage 2 QA/QC Checks for Household and Person Characteristics =====
#=================================================================================#
# Table 9. Stage 2 QA/QC Checks for Place Characteristics =====
#=================================================================================#
# Table 10. Household Size by Number of Household Workers =====
tbl10 <- summarize_data(
data = hts_data,
agg = 'household_count',
by = c('hhsize_agg','hhworker_agg')
)
make_table(tbl10, row_vars = c('hhsize_agg','hhworker_agg'))
#=================================================================================#
# Table 11. Household Size by Number of Household Vehicles =====
#=================================================================================#
# Table 12. Number of Workers by Number of Household Vehicles =====
#=================================================================================#
# Table 13. Household Income; Surveyed and Weighted versus ACS =====
#=================================================================================#
# Table 14. Person Characteristics; Surveyed and Weighted versus ACS =====
#=================================================================================#
# Table 15. Household Characteristics; Surveyed and Weighted versus ACS =====
#=================================================================================#
# Table 16. Summary Survey Results =====
#=================================================================================#
# Table 17. Household Size =====
#=================================================================================#
# Table 18. Household Vehicles =====
#=================================================================================#
# Table 19. Household Workers =====
#=================================================================================#
# Table 20. Household Income =====
#=================================================================================#
# Table 21. Home Ownership =====
#=================================================================================#
# Table 22. Respondent Race =====
#=================================================================================#
# Table 23. Respondent Age =====
#=================================================================================#
# Table 24. Household Trip Rates =====
tbl24 <- summarize_data(
data = hts_data,
agg = 'household_trip_rate'
)
#=================================================================================#
# Table 25. Household Trip Rates by Household Size by Household Vehicles =====
#=================================================================================#
# Table 26. Household Trip Rates by Household Size =====
#=================================================================================#
# Table 27. Household Trip Rates by Household Vehicles =====
#=================================================================================#
# Table 28. Household Trip Rates by Household Workers =====
#=================================================================================#
# Table 29. Household Trip Rates by Household Income =====
#=================================================================================#
# Table 30. Household Trip Rates by Home Ownership =====
#=================================================================================#
# Table 31. Person Trip Rates =====
#=================================================================================#
# Table 32. Person Trip Rates by Gender =====
#=================================================================================#
# Table 33. Person Trip Rates by Age =====
#=================================================================================#
# Table 34. Person Trip Rates by Race =====
#=================================================================================#
# Table 35. Person Trip Rates by Driver’s License Status =====
#=================================================================================#
# Table 36. Person Trip Rates by Person Type =====
#=================================================================================#
# Table 37. Trip Type Definitions Used in Analysis =====
#=================================================================================#
# Table 38. Frequency, Trip Rate, Average Minutes, and Average Distances by Trip Types =====
#=================================================================================#
# Table 39. Mode Share =====
#=================================================================================#
# Table 40. Average Trip Duration (in minutes) by Mode =====
tbl40 <- summarize_data(
data = hts_data,
agg = 'avg',
agg_var = 'travtime',
by = 'mode'
)
#=================================================================================#
# Table 41. Average Trip Distance (in miles) by Mode =====
#=================================================================================#
# Table 42. Actual versus Typical Work Mode =====
#=================================================================================#
# Table 43. Actual versus Typical School Mode =====
#=================================================================================#
#================================================================================================================================================#
#### Figures ####
#================================================================================================================================================#
# Figure 3. Study Area with Home Locations for Final Delivered Households =====
#=================================================================================#
# Figure 4. Study Area with Home Locations for Final Delivered Households =====
#=================================================================================#
# Figure 5. Representation of Captured GPS points from the Daily Travel Apps =====
#=================================================================================#
# Figure 6. Volume of Household Trips =====
#=================================================================================#
# Figure 7. Person Types =====
#=================================================================================#
# Figure 8. Departure Times by Time of Day =====
#=================================================================================#
# Figure 9. Departure Times – Raw Counts (weighted counts divided by 1000) =====
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