Get indicator names within a varlist like names_d
Usage
namesbyvarlist(varlist, nametype = c("rname", "longname", "apiname")[1])Details
varlist2names() is a way to just get a vector of variable names even if the varlist is not stored as a separate data object and is only found in the map_headernames$varlist column:
varlist2names(c('names_d', 'names_d_subgroups'))
c(names_d, names_d_subgroups)
See also
names_from_varlist() varlist2names() varin_map_headernames() varinfo() names_whichlist_multi_key() vnames()
Examples
unique(map_headernames$varlist)
#> [1] "names_d"
#> [2] "names_d_demogindexstate"
#> [3] "names_d_ratio_to_avg"
#> [4] "names_d_ratio_to_state_avg"
#> [5] "names_d_pctile"
#> [6] "names_d_state_pctile"
#> [7] "names_d_avg"
#> [8] "names_d_state_avg"
#> [9] "names_d_count"
#> [10] "names_d_subgroups"
#> [11] "names_d_subgroups_ratio_to_avg"
#> [12] "names_d_subgroups_ratio_to_state_avg"
#> [13] "names_d_subgroups_pctile"
#> [14] "names_d_subgroups_state_pctile"
#> [15] "names_d_subgroups_avg"
#> [16] "names_d_subgroups_state_avg"
#> [17] "names_d_subgroups_count"
#> [18] "names_d_subgroups_alone"
#> [19] "names_d_subgroups_alone_ratio_to_avg"
#> [20] "names_d_subgroups_alone_ratio_to_state_avg"
#> [21] "names_d_subgroups_alone_pctile"
#> [22] "names_d_subgroups_alone_state_pctile"
#> [23] "names_d_subgroups_alone_avg"
#> [24] "names_d_subgroups_alone_state_avg"
#> [25] "names_d_subgroups_alone_count"
#> [26] "names_d_subgroups_nh"
#> [27] "names_d_subgroups_nh_ratio_to_avg"
#> [28] "names_d_subgroups_nh_ratio_to_state_avg"
#> [29] "names_d_subgroups_nh_pctile"
#> [30] "names_d_subgroups_nh_state_pctile"
#> [31] "names_d_subgroups_nh_avg"
#> [32] "names_d_subgroups_nh_state_avg"
#> [33] "names_d_subgroups_nh_count"
#> [34] "names_d_language"
#> [35] "names_d_language_count"
#> [36] "names_d_languageli"
#> [37] "names_d_languageli_count"
#> [38] "names_d_other_count"
#> [39] "names_d_extra"
#> [40] "names_d_extra_count"
#> [41] "names_health"
#> [42] "names_health_ratio_to_avg"
#> [43] "names_health_ratio_to_state_avg"
#> [44] "names_health_pctile"
#> [45] "names_health_state_pctile"
#> [46] "names_health_avg"
#> [47] "names_health_state_avg"
#> [48] "names_health_count"
#> [49] "names_criticalservice"
#> [50] "names_misc"
#> [51] "names_e"
#> [52] "names_e_ratio_to_avg"
#> [53] "names_e_ratio_to_state_avg"
#> [54] "names_e_pctile"
#> [55] "names_e_state_pctile"
#> [56] "names_e_avg"
#> [57] "names_e_state_avg"
#> [58] "names_climate"
#> [59] "names_climate_pctile"
#> [60] "names_climate_state_pctile"
#> [61] "names_climate_avg"
#> [62] "names_climate_state_avg"
#> [63] "names_e_other"
#> [64] "names_ej"
#> [65] "names_ej_state"
#> [66] "names_ej_pctile"
#> [67] "names_ej_state_pctile"
#> [68] "names_ej_supp"
#> [69] "names_ej_supp_state"
#> [70] "names_ej_supp_pctile"
#> [71] "names_ej_supp_state_pctile"
#> [72] "names_countabove"
#> [73] "names_criticalservice_pctile"
#> [74] "names_criticalservice_state_pctile"
#> [75] "names_criticalservice_avg"
#> [76] "names_criticalservice_state_avg"
#> [77] "names_featuresinarea"
#> [78] "names_age"
#> [79] "names_age_count"
#> [80] "names_community"
#> [81] "names_community_count"
#> [82] "names_flag"
#> [83] "custom"
#> [84] "names_sitesinarea"
#> [85] "names_geo"
namesbyvarlist('names_e_avg', 'rname')
#> varlist rname
#> 412 names_e_avg avg.pm
#> 413 names_e_avg avg.o3
#> 414 names_e_avg avg.no2
#> 415 names_e_avg avg.dpm
#> 416 names_e_avg avg.rsei
#> 417 names_e_avg avg.traffic.score
#> 418 names_e_avg avg.pctpre1960
#> 419 names_e_avg avg.proximity.npl
#> 420 names_e_avg avg.proximity.rmp
#> 421 names_e_avg avg.proximity.tsdf
#> 422 names_e_avg avg.ust
#> 423 names_e_avg avg.proximity.npdes
#> 424 names_e_avg avg.drinking
namesbyvarlist('names_d')
#> varlist rname
#> 1 names_d Demog.Index
#> 2 names_d Demog.Index.Supp
#> 3 names_d pctlowinc
#> 4 names_d pctlingiso
#> 5 names_d pctunemployed
#> 6 names_d pctlths
#> 7 names_d pctunder5
#> 8 names_d pctover64
#> 9 names_d pctmin
namesbyvarlist('names_d', 'r')
#> varlist rname
#> 1 names_d Demog.Index
#> 2 names_d Demog.Index.Supp
#> 3 names_d pctlowinc
#> 4 names_d pctlingiso
#> 5 names_d pctunemployed
#> 6 names_d pctlths
#> 7 names_d pctunder5
#> 8 names_d pctover64
#> 9 names_d pctmin
namesbyvarlist('names_d', 'long')
#> varlist longname
#> 1 names_d Demographic Index USA
#> 2 names_d Supplemental Demographic Index USA
#> 3 names_d % Low Income
#> 4 names_d % in limited English-speaking Households
#> 5 names_d % Unemployed
#> 6 names_d % with Less Than High School Education
#> 7 names_d % under Age 5
#> 8 names_d % over Age 64
#> 9 names_d % People of Color
namesbyvarlist('names_d', 'shortlabel')
#> varlist shortlabel
#> 1 names_d Demog.Ind.
#> 2 names_d Suppl Demog.Ind.
#> 3 names_d %Low-inc.
#> 4 names_d %Limited English
#> 5 names_d %Unemployed
#> 6 names_d %< High School
#> 7 names_d %< age 5
#> 8 names_d %> age 64
#> 9 names_d %POC
namesbyvarlist( 'names_e_pctile', c('r', 'longname'))
#> varlist rname
#> 386 names_e_pctile pctile.pm
#> 387 names_e_pctile pctile.o3
#> 388 names_e_pctile pctile.no2
#> 389 names_e_pctile pctile.dpm
#> 390 names_e_pctile pctile.rsei
#> 391 names_e_pctile pctile.traffic.score
#> 392 names_e_pctile pctile.pctpre1960
#> 393 names_e_pctile pctile.proximity.npl
#> 394 names_e_pctile pctile.proximity.rmp
#> 395 names_e_pctile pctile.proximity.tsdf
#> 396 names_e_pctile pctile.ust
#> 397 names_e_pctile pctile.proximity.npdes
#> 398 names_e_pctile pctile.drinking
#> longname
#> 386 US percentile for Particulate Matter (PM 2.5 in ug/m3)
#> 387 US percentile for Ozone (ppb)
#> 388 US percentile for Nitrogen Dioxide (NO2)
#> 389 US percentile for Diesel Particulate Matter (ug/m3)
#> 390 US percentile for Toxic Releases to Air
#> 391 US percentile for Traffic Proximity and Volume (daily traffic count/distance to road)
#> 392 US percentile for Lead Paint Indicator (% pre-1960s housing)
#> 393 US percentile for Superfund Proximity (site count/km distance)
#> 394 US percentile for RMP Proximity (facility count/km distance)
#> 395 US percentile for Hazardous Waste Proximity (facility count/km distance)
#> 396 US percentile for Underground Storage Tanks (UST) indicator
#> 397 US percentile for Wastewater Discharge Indicator (toxicity-weighted concentration/distance)
#> 398 US percentile for Drinking Water Non-Compliance
namesbyvarlist(c('names_e_pctile', 'names_e_state_pctile'),
c('varlist', 'rname', 'apiname', 'csvname', 'shortlabel', 'longname'))
#> varlist varlist.1 rname
#> 386 names_e_pctile names_e_pctile pctile.pm
#> 387 names_e_pctile names_e_pctile pctile.o3
#> 388 names_e_pctile names_e_pctile pctile.no2
#> 389 names_e_pctile names_e_pctile pctile.dpm
#> 390 names_e_pctile names_e_pctile pctile.rsei
#> 391 names_e_pctile names_e_pctile pctile.traffic.score
#> 392 names_e_pctile names_e_pctile pctile.pctpre1960
#> 393 names_e_pctile names_e_pctile pctile.proximity.npl
#> 394 names_e_pctile names_e_pctile pctile.proximity.rmp
#> 395 names_e_pctile names_e_pctile pctile.proximity.tsdf
#> 396 names_e_pctile names_e_pctile pctile.ust
#> 397 names_e_pctile names_e_pctile pctile.proximity.npdes
#> 398 names_e_pctile names_e_pctile pctile.drinking
#> 399 names_e_state_pctile names_e_state_pctile state.pctile.pm
#> 400 names_e_state_pctile names_e_state_pctile state.pctile.o3
#> 401 names_e_state_pctile names_e_state_pctile state.pctile.no2
#> 402 names_e_state_pctile names_e_state_pctile state.pctile.dpm
#> 403 names_e_state_pctile names_e_state_pctile state.pctile.rsei
#> 404 names_e_state_pctile names_e_state_pctile state.pctile.traffic.score
#> 405 names_e_state_pctile names_e_state_pctile state.pctile.pctpre1960
#> 406 names_e_state_pctile names_e_state_pctile state.pctile.proximity.npl
#> 407 names_e_state_pctile names_e_state_pctile state.pctile.proximity.rmp
#> 408 names_e_state_pctile names_e_state_pctile state.pctile.proximity.tsdf
#> 409 names_e_state_pctile names_e_state_pctile state.pctile.ust
#> 410 names_e_state_pctile names_e_state_pctile state.pctile.proximity.npdes
#> 411 names_e_state_pctile names_e_state_pctile state.pctile.drinking
#> apiname csvname shortlabel
#> 386 N_E_PM25_PER P_PM25 US%ile PM2.5
#> 387 N_E_O3_PER P_OZONE US%ile Ozone
#> 388 N_E_NO2_PER P_NO2 US%ile NO2
#> 389 N_E_DIESEL_PER P_DSLPM US%ile Diesel PM
#> 390 N_E_RSEI_AIR_PER P_RSEI_AIR US%ile Toxic Releases to Air
#> 391 N_E_TRAFFIC_PER P_PTRAF US%ile Traffic
#> 392 N_E_LEAD_PER P_LDPNT US%ile %pre-1960
#> 393 N_E_NPL_PER P_PNPL US%ile NPL
#> 394 N_E_RMP_PER P_PRMP US%ile RMP
#> 395 N_E_TSDF_PER P_PTSDF US%ile TSDF
#> 396 N_E_UST_PER P_UST US%ile UST
#> 397 N_E_NPDES_PER P_PWDIS US%ile NPDES
#> 398 N_E_DWATER_PER P_DWATER US%ile Drinking
#> 399 S_E_PM25_PER S_P_PM25 State%ile PM2.5
#> 400 S_E_O3_PER S_P_OZONE State%ile Ozone
#> 401 S_E_NO2_PER S_P_NO2 State%ile NO2
#> 402 S_E_DIESEL_PER S_P_DSLPM State%ile Diesel PM
#> 403 S_E_RSEI_AIR_PER S_P_RSEI_AIR State%ile Toxic Releases to Air
#> 404 S_E_TRAFFIC_PER S_P_PTRAF State%ile Traffic
#> 405 S_E_LEAD_PER S_P_LDPNT State%ile %pre-1960
#> 406 S_E_NPL_PER S_P_PNPL State%ile NPL
#> 407 S_E_RMP_PER S_P_PRMP State%ile RMP
#> 408 S_E_TSDF_PER S_P_PTSDF State%ile TSDF
#> 409 S_E_UST_PER S_P_UST State%ile UST
#> 410 S_E_NPDES_PER S_P_PWDIS State%ile NPDES
#> 411 S_E_DWATER_PER S_P_DWATER State%ile Drinking
#> longname
#> 386 US percentile for Particulate Matter (PM 2.5 in ug/m3)
#> 387 US percentile for Ozone (ppb)
#> 388 US percentile for Nitrogen Dioxide (NO2)
#> 389 US percentile for Diesel Particulate Matter (ug/m3)
#> 390 US percentile for Toxic Releases to Air
#> 391 US percentile for Traffic Proximity and Volume (daily traffic count/distance to road)
#> 392 US percentile for Lead Paint Indicator (% pre-1960s housing)
#> 393 US percentile for Superfund Proximity (site count/km distance)
#> 394 US percentile for RMP Proximity (facility count/km distance)
#> 395 US percentile for Hazardous Waste Proximity (facility count/km distance)
#> 396 US percentile for Underground Storage Tanks (UST) indicator
#> 397 US percentile for Wastewater Discharge Indicator (toxicity-weighted concentration/distance)
#> 398 US percentile for Drinking Water Non-Compliance
#> 399 State percentile for Particulate Matter (PM 2.5 in ug/m3)
#> 400 State percentile for Ozone (ppb)
#> 401 State percentile for Nitrogen Dioxide (NO2)
#> 402 State percentile for Diesel Particulate Matter (ug/m3)
#> 403 State percentile for Toxic Releases to Air
#> 404 State percentile for Traffic Proximity and Volume (daily traffic count/distance to road)
#> 405 State percentile for Lead Paint Indicator (% pre-1960s housing)
#> 406 State percentile for Superfund Proximity (site count/km distance)
#> 407 State percentile for RMP Proximity (facility count/km distance)
#> 408 State percentile for Hazardous Waste Proximity (facility count/km distance)
#> 409 State percentile for Underground Storage Tanks (UST) indicator
#> 410 State percentile for Wastewater Discharge Indicator (toxicity-weighted concentration/distance)
#> 411 State percentile for Drinking Water Non-Compliance