utility to multiply certain percentage columns by 100 to convert 0-1.00 into 0-100
Source:R/table_x100.R
table_x100.Rdmultiplies some data to rescale percentages stored as 0 to 1, into 0-100
See also
table_signif_round_x100() table_signif() table_round() table_x100()
Examples
out <- testoutput_ejamit_10pts_1miles
mytable <- out$results_bysite[1:2, ..names_these]
#> Error: object '..names_these' not found
table_signif_round_x100(mytable)
#> Error in table_signif_round_x100(mytable): could not find function "table_signif_round_x100"
# same as this:
table_signif(
table_round(
table_x100(
mytable, names_pct_as_fraction_ejamit
)
)
)
#> Error in table_signif(table_round(table_x100(mytable, names_pct_as_fraction_ejamit))): could not find function "table_signif"
y = data.frame(pctlowinc = 1:2, pctpre1960 = 1:2, avg.pctunemployed = 1:2, avg.pctpre1960 = 1:2)
table_x100(y, names_pct_as_fraction_ejscreenit)
#> Error in table_x100(y, names_pct_as_fraction_ejscreenit): could not find function "table_x100"
table_x100(y, names_pct_as_fraction_blockgroupstats)
#> Error in table_x100(y, names_pct_as_fraction_blockgroupstats): could not find function "table_x100"
table_x100(y, names_pct_as_fraction_ejamit)
#> Error in table_x100(y, names_pct_as_fraction_ejamit): could not find function "table_x100"
cat("\n\n")
#>
#>
names_pct_as_fraction_ejscreenit
#> [1] "pctnhaiana" "pctnhnhpia" "pctba"
#> [4] "pctaa" "pctaiana" "pctnhpia"
#> [7] "pctotheralone" "pctmulti" "pctwa"
#> [10] "pctlan_ie" "pctlan_api" "pctlan_nonenglish"
#> [13] "pctpoor"
#> attr(,"ejam_package_version")
#> Version
#> "2.32.4"
#> attr(,"ejscreen_version")
#> EJScreenVersion
#> "2.32"
#> attr(,"ejscreen_releasedate")
#> EJScreenReleaseDate
#> "2024-08-12"
#> attr(,"acs_releasedate")
#> ACSReleaseDate
#> "2023-12-07"
#> attr(,"acs_version")
#> ACSVersion
#> "2018-2022"
#> attr(,"census_version")
#> CensusVersion
#> "2020"
#> attr(,"date_saved_in_package")
#> [1] "2025-05-06"
names_pct_as_fraction_blockgroupstats
#> [1] "pctlowinc" "pctlingiso" "pctunemployed"
#> [4] "pctlths" "pctunder5" "pctover64"
#> [7] "pctmin" "pcthisp" "pctnhba"
#> [10] "pctnhaa" "pctnhaiana" "pctnhnhpia"
#> [13] "pctnhotheralone" "pctnhmulti" "pctnhwa"
#> [16] "pctba" "pctaa" "pctaiana"
#> [19] "pctnhpia" "pctotheralone" "pctmulti"
#> [22] "pctwa" "pctlan_ie" "pctlan_api"
#> [25] "pctlan_other" "pctlan_english" "pctlan_spanish"
#> [28] "pctlan_french" "pctlan_rus_pol_slav" "pctlan_other_ie"
#> [31] "pctlan_vietnamese" "pctlan_other_asian" "pctlan_arabic"
#> [34] "pctlan_nonenglish" "pctspanish_li" "pctie_li"
#> [37] "pctapi_li" "pctother_li" "pctpoor"
#> [40] "pctdisability" "lowlifex" "pctnobroadband"
#> [43] "pctnohealthinsurance" "pctpre1960" "pctfire30"
#> [46] "pctflood30" "pctunder18" "pctover17"
#> [49] "pctmale" "pctfemale" "pctownedunits"
#> attr(,"ejam_package_version")
#> Version
#> "2.32.4"
#> attr(,"ejscreen_version")
#> EJScreenVersion
#> "2.32"
#> attr(,"ejscreen_releasedate")
#> EJScreenReleaseDate
#> "2024-08-12"
#> attr(,"acs_releasedate")
#> ACSReleaseDate
#> "2023-12-07"
#> attr(,"acs_version")
#> ACSVersion
#> "2018-2022"
#> attr(,"census_version")
#> CensusVersion
#> "2020"
#> attr(,"date_saved_in_package")
#> [1] "2025-05-06"
names_pct_as_fraction_ejamit
#> [1] "pctlowinc" "pctlingiso"
#> [3] "pctunemployed" "pctlths"
#> [5] "pctunder5" "pctover64"
#> [7] "pctmin" "avg.pctlowinc"
#> [9] "avg.pctlingiso" "avg.pctunemployed"
#> [11] "avg.pctlths" "avg.pctunder5"
#> [13] "avg.pctover64" "avg.pctmin"
#> [15] "state.avg.pctlowinc" "state.avg.pctlingiso"
#> [17] "state.avg.pctunemployed" "state.avg.pctlths"
#> [19] "state.avg.pctunder5" "state.avg.pctover64"
#> [21] "state.avg.pctmin" "pcthisp"
#> [23] "pctnhba" "pctnhaa"
#> [25] "pctnhaiana" "pctnhnhpia"
#> [27] "pctnhotheralone" "pctnhmulti"
#> [29] "pctnhwa" "avg.pcthisp"
#> [31] "avg.pctnhba" "avg.pctnhaa"
#> [33] "avg.pctnhaiana" "avg.pctnhnhpia"
#> [35] "avg.pctnhotheralone" "avg.pctnhmulti"
#> [37] "avg.pctnhwa" "state.avg.pcthisp"
#> [39] "state.avg.pctnhba" "state.avg.pctnhaa"
#> [41] "state.avg.pctnhaiana" "state.avg.pctnhnhpia"
#> [43] "state.avg.pctnhotheralone" "state.avg.pctnhmulti"
#> [45] "state.avg.pctnhwa" "pctba"
#> [47] "pctaa" "pctaiana"
#> [49] "pctnhpia" "pctotheralone"
#> [51] "pctmulti" "pctwa"
#> [53] "pctlan_ie" "pctlan_api"
#> [55] "pctlan_other" "pctlan_spanish"
#> [57] "pctlan_nonenglish" "pctspanish_li"
#> [59] "pctie_li" "pctapi_li"
#> [61] "pctother_li" "pctpoor"
#> [63] "pctdisability" "lowlifex"
#> [65] "avg.pctdisability" "avg.lowlifex"
#> [67] "avg.lifexyears_synonym" "state.avg.pctdisability"
#> [69] "state.avg.lowlifex" "pctnobroadband"
#> [71] "pctnohealthinsurance" "pctpre1960"
#> [73] "pctflood" "pctfire"
#> [75] "pctfire30" "pctflood30"
#> [77] "pctunder18" "pctover17"
#> [79] "pctmale" "pctfemale"
#> [81] "pctownedunits" "pctfemale1849"
#> attr(,"ejam_package_version")
#> Version
#> "2.32.4"
#> attr(,"ejscreen_version")
#> EJScreenVersion
#> "2.32"
#> attr(,"ejscreen_releasedate")
#> EJScreenReleaseDate
#> "2024-08-12"
#> attr(,"acs_releasedate")
#> ACSReleaseDate
#> "2023-12-07"
#> attr(,"acs_version")
#> ACSVersion
#> "2018-2022"
#> attr(,"census_version")
#> CensusVersion
#> "2020"
#> attr(,"date_saved_in_package")
#> [1] "2025-05-06"
cat("\n\n")
#>
#>
ytable = data.table(pctlowinc = 1:2, pctpre1960 = 1:2,
avg.pctunemployed = 1:2,
avg.pctpre1960 = 1:2)
#> Error in data.table(pctlowinc = 1:2, pctpre1960 = 1:2, avg.pctunemployed = 1:2, avg.pctpre1960 = 1:2): could not find function "data.table"
table_x100(ytable, names_pct_as_fraction_blockgroupstats)
#> Error in table_x100(ytable, names_pct_as_fraction_blockgroupstats): could not find function "table_x100"
table_x100(ytable, names_pct_as_fraction_ejamit)
#> Error in table_x100(ytable, names_pct_as_fraction_ejamit): could not find function "table_x100"
cat("\n\n")
#>
#>
y
#> pctlowinc pctpre1960 avg.pctunemployed avg.pctpre1960
#> 1 1 1 1 1
#> 2 2 2 2 2
ytable
#> Error: object 'ytable' not found