How I made the ordinal plot for this paper https://onlinelibrary.wiley.com/doi/10.1111/dmcn.15198
Local .Rprofile detected at C:\Users\Tristan\Documents\WiscRepos\2021-10-hl-vss\.Rprofile
library(tidyverse)
if (FALSE) {
# Read in the models and make the tribbles for the demo
draws_epred_means <- targets::tar_read("draws_epred_means")
data_means <- draws_epred_means |>
group_by(age_group_4, .draw, .add = TRUE) |>
mutate(
cumulative = cumsum(.epred)
) |>
ungroup()
data_100_means <- data_means |>
tjmisc::sample_n_of(100, .draw)
datapasta::dp_set_max_rows(n = 2000)
data_100_means |>
datapasta::tribble_paste()
data_means_qi <- data_means |>
group_by(age_group_4, .category) |>
ggdist::median_qi(cumulative)
data_means_qi |>
datapasta::tribble_paste()
}
data_100_means <- tibble::tribble(
~.draw, ~age_group_4, ~age_group, ~.category, ~.epred, ~cumulative,
21L, 0, 4, "1", 0.0249172383307885, 0.0249172383307885,
21L, 0, 4, "2", 0.0917157567566448, 0.116632995087433,
21L, 0, 4, "3", 0.226996061855889, 0.343629056943322,
21L, 0, 4, "4", 0.656370943056678, 1,
21L, 2, 6, "1", 0.065530689357306, 0.065530689357306,
21L, 2, 6, "2", 0.116605520699554, 0.18213621005686,
21L, 2, 6, "3", 0.225584320412504, 0.407720530469364,
21L, 2, 6, "4", 0.592279469530636, 1,
21L, 4, 8, "1", 0.102567532837215, 0.102567532837215,
21L, 4, 8, "2", 0.15035456717189, 0.252922100009106,
21L, 4, 8, "3", 0.19766393340784, 0.450586033416945,
21L, 4, 8, "4", 0.549413966583055, 1,
21L, 6, 10, "1", 0.141062840890182, 0.141062840890182,
21L, 6, 10, "2", 0.177174224251973, 0.318237065142155,
21L, 6, 10, "3", 0.168768229349325, 0.487005294491479,
21L, 6, 10, "4", 0.512994705508521, 1,
189L, 0, 4, "1", 0.0208453806777477, 0.0208453806777477,
189L, 0, 4, "2", 0.152802687213725, 0.173648067891472,
189L, 0, 4, "3", 0.180842171006315, 0.354490238897787,
189L, 0, 4, "4", 0.645509761102213, 1,
189L, 2, 6, "1", 0.0624952622266874, 0.0624952622266874,
189L, 2, 6, "2", 0.213809111654719, 0.276304373881406,
189L, 2, 6, "3", 0.189663561901326, 0.465967935782732,
189L, 2, 6, "4", 0.534032064217268, 1,
189L, 4, 8, "1", 0.117450021027118, 0.117450021027118,
189L, 4, 8, "2", 0.263514375653036, 0.380964396680154,
189L, 4, 8, "3", 0.183545004136407, 0.564509400816561,
189L, 4, 8, "4", 0.435490599183439, 1,
189L, 6, 10, "1", 0.19373597862923, 0.19373597862923,
189L, 6, 10, "2", 0.275124785532748, 0.468860764161978,
189L, 6, 10, "3", 0.183073007066827, 0.651933771228805,
189L, 6, 10, "4", 0.348066228771195, 1,
244L, 0, 4, "1", 0.0224598176886189, 0.0224598176886189,
244L, 0, 4, "2", 0.141692863157991, 0.16415268084661,
244L, 0, 4, "3", 0.319264577863004, 0.483417258709614,
244L, 0, 4, "4", 0.516582741290386, 1,
244L, 2, 6, "1", 0.0574710748493084, 0.0574710748493084,
244L, 2, 6, "2", 0.204935068191272, 0.262406143040581,
244L, 2, 6, "3", 0.300114556591069, 0.56252069963165,
244L, 2, 6, "4", 0.43747930036835, 1,
244L, 4, 8, "1", 0.119021733131334, 0.119021733131334,
244L, 4, 8, "2", 0.248030687665111, 0.367052420796445,
244L, 4, 8, "3", 0.255334582548679, 0.622387003345124,
244L, 4, 8, "4", 0.377612996654876, 1,
244L, 6, 10, "1", 0.198445401760296, 0.198445401760296,
244L, 6, 10, "2", 0.264246181633171, 0.462691583393467,
244L, 6, 10, "3", 0.218776700752912, 0.681468284146379,
244L, 6, 10, "4", 0.318531715853621, 1,
342L, 0, 4, "1", 0.0354205596200377, 0.0354205596200377,
342L, 0, 4, "2", 0.104202055507576, 0.139622615127613,
342L, 0, 4, "3", 0.231410802358282, 0.371033417485895,
342L, 0, 4, "4", 0.628966582514105, 1,
342L, 2, 6, "1", 0.0660768757072976, 0.0660768757072976,
342L, 2, 6, "2", 0.157837325624806, 0.223914201332104,
342L, 2, 6, "3", 0.248706034588346, 0.472620235920449,
342L, 2, 6, "4", 0.527379764079551, 1,
342L, 4, 8, "1", 0.106934142813945, 0.106934142813945,
342L, 4, 8, "2", 0.216795728055085, 0.323729870869029,
342L, 4, 8, "3", 0.232074358290375, 0.555804229159404,
342L, 4, 8, "4", 0.444195770840596, 1,
342L, 6, 10, "1", 0.163205881868053, 0.163205881868053,
342L, 6, 10, "2", 0.252353698704186, 0.415559580572239,
342L, 6, 10, "3", 0.215026137401185, 0.630585717973424,
342L, 6, 10, "4", 0.369414282026576, 1,
350L, 0, 4, "1", 0.036927238459932, 0.036927238459932,
350L, 0, 4, "2", 0.131252177711093, 0.168179416171025,
350L, 0, 4, "3", 0.174589214165408, 0.342768630336433,
350L, 0, 4, "4", 0.657231369663567, 1,
350L, 2, 6, "1", 0.100706733952116, 0.100706733952116,
350L, 2, 6, "2", 0.15579483593043, 0.256501569882546,
350L, 2, 6, "3", 0.168099203804543, 0.42460077368709,
350L, 2, 6, "4", 0.57539922631291, 1,
350L, 4, 8, "1", 0.181151953049541, 0.181151953049541,
350L, 4, 8, "2", 0.138662395113464, 0.319814348163005,
350L, 4, 8, "3", 0.172918177938992, 0.492732526101996,
350L, 4, 8, "4", 0.507267473898004, 1,
350L, 6, 10, "1", 0.244556698975338, 0.244556698975338,
350L, 6, 10, "2", 0.132686798057539, 0.377243497032877,
350L, 6, 10, "3", 0.164624774788974, 0.541868271821852,
350L, 6, 10, "4", 0.458131728178148, 1,
380L, 0, 4, "1", 0.0209620083076502, 0.0209620083076502,
380L, 0, 4, "2", 0.154117863659399, 0.175079871967049,
380L, 0, 4, "3", 0.27287953511875, 0.4479594070858,
380L, 0, 4, "4", 0.5520405929142, 1,
380L, 2, 6, "1", 0.0577620042417555, 0.0577620042417555,
380L, 2, 6, "2", 0.258285462291516, 0.316047466533271,
380L, 2, 6, "3", 0.275211626359011, 0.591259092892282,
380L, 2, 6, "4", 0.408740907107718, 1,
380L, 4, 8, "1", 0.144875125583204, 0.144875125583204,
380L, 4, 8, "2", 0.314837056269404, 0.459712181852608,
380L, 4, 8, "3", 0.228832249383433, 0.688544431236041,
380L, 4, 8, "4", 0.311455568763959, 1,
380L, 6, 10, "1", 0.252814189885786, 0.252814189885786,
380L, 6, 10, "2", 0.32768628895558, 0.580500478841366,
380L, 6, 10, "3", 0.167066968172018, 0.747567447013384,
380L, 6, 10, "4", 0.252432552986616, 1,
416L, 0, 4, "1", 0.0249664659053683, 0.0249664659053683,
416L, 0, 4, "2", 0.184134846059023, 0.209101311964391,
416L, 0, 4, "3", 0.276688359774341, 0.485789671738732,
416L, 0, 4, "4", 0.514210328261268, 1,
416L, 2, 6, "1", 0.0753067476240857, 0.0753067476240857,
416L, 2, 6, "2", 0.253359188301897, 0.328665935925982,
416L, 2, 6, "3", 0.236776447334358, 0.56544238326034,
416L, 2, 6, "4", 0.43455761673966, 1,
416L, 4, 8, "1", 0.17349101015948, 0.17349101015948,
416L, 4, 8, "2", 0.260392981633412, 0.433883991792892,
416L, 4, 8, "3", 0.177840128877982, 0.611724120670874,
416L, 4, 8, "4", 0.388275879329126, 1,
416L, 6, 10, "1", 0.273156161139911, 0.273156161139911,
416L, 6, 10, "2", 0.231528960597129, 0.50468512173704,
416L, 6, 10, "3", 0.133553201342709, 0.638238323079749,
416L, 6, 10, "4", 0.361761676920251, 1,
476L, 0, 4, "1", 0.0427773101240411, 0.0427773101240411,
476L, 0, 4, "2", 0.12324535873478, 0.166022668858821,
476L, 0, 4, "3", 0.180228028448896, 0.346250697307718,
476L, 0, 4, "4", 0.653749302692282, 1,
476L, 2, 6, "1", 0.0766219420324976, 0.0766219420324976,
476L, 2, 6, "2", 0.170843274508105, 0.247465216540603,
476L, 2, 6, "3", 0.194416349203436, 0.441881565744039,
476L, 2, 6, "4", 0.558118434255962, 1,
476L, 4, 8, "1", 0.131907470586384, 0.131907470586384,
476L, 4, 8, "2", 0.201310825450709, 0.333218296037093,
476L, 4, 8, "3", 0.187852837685483, 0.521071133722576,
476L, 4, 8, "4", 0.478928866277424, 1,
476L, 6, 10, "1", 0.201753358120433, 0.201753358120433,
476L, 6, 10, "2", 0.209566293589894, 0.411319651710327,
476L, 6, 10, "3", 0.177507022091987, 0.588826673802314,
476L, 6, 10, "4", 0.411173326197686, 1,
633L, 0, 4, "1", 0.0616841570336487, 0.0616841570336487,
633L, 0, 4, "2", 0.221062286545529, 0.282746443579178,
633L, 0, 4, "3", 0.223303112683565, 0.506049556262744,
633L, 0, 4, "4", 0.493950443737257, 1,
633L, 2, 6, "1", 0.151207237161264, 0.151207237161264,
633L, 2, 6, "2", 0.228400111598986, 0.37960734876025,
633L, 2, 6, "3", 0.203864840712622, 0.583472189472872,
633L, 2, 6, "4", 0.416527810527128, 1,
633L, 4, 8, "1", 0.236727267029554, 0.236727267029554,
633L, 4, 8, "2", 0.232416435092094, 0.469143702121648,
633L, 4, 8, "3", 0.168980205072931, 0.638123907194579,
633L, 4, 8, "4", 0.361876092805421, 1,
633L, 6, 10, "1", 0.318089387787358, 0.318089387787358,
633L, 6, 10, "2", 0.208696013582029, 0.526785401369388,
633L, 6, 10, "3", 0.174019582010156, 0.700804983379544,
633L, 6, 10, "4", 0.299195016620456, 1,
780L, 0, 4, "1", 0.0229955645821796, 0.0229955645821796,
780L, 0, 4, "2", 0.154245815551601, 0.177241380133781,
780L, 0, 4, "3", 0.223541958503184, 0.400783338636966,
780L, 0, 4, "4", 0.599216661363034, 1,
780L, 2, 6, "1", 0.0428526865271815, 0.0428526865271815,
780L, 2, 6, "2", 0.217125364418879, 0.259978050946061,
780L, 2, 6, "3", 0.218005713891052, 0.477983764837112,
780L, 2, 6, "4", 0.522016235162888, 1,
780L, 4, 8, "1", 0.0857667592215263, 0.0857667592215263,
780L, 4, 8, "2", 0.238552934298875, 0.324319693520401,
780L, 4, 8, "3", 0.21662356245441, 0.540943255974812,
780L, 4, 8, "4", 0.459056744025188, 1,
780L, 6, 10, "1", 0.159602291015629, 0.159602291015629,
780L, 6, 10, "2", 0.233768661279604, 0.393370952295233,
780L, 6, 10, "3", 0.191093317753011, 0.584464270048244,
780L, 6, 10, "4", 0.415535729951756, 1,
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815L, 2, 6, "3", 0.276507298893525, 0.635986018032537,
815L, 2, 6, "4", 0.364013981967463, 1,
815L, 4, 8, "1", 0.239658771590994, 0.239658771590994,
815L, 4, 8, "2", 0.210704138740516, 0.45036291033151,
815L, 4, 8, "3", 0.268195027181255, 0.718557937512765,
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971L, 6, 10, "1", 0.292541497454967, 0.292541497454967,
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1110L, 4, 8, "3", 0.182208003755052, 0.677036132394528,
1110L, 4, 8, "4", 0.322963867605472, 1,
1110L, 6, 10, "1", 0.272606425314501, 0.272606425314501,
1110L, 6, 10, "2", 0.321455400215697, 0.594061825530197,
1110L, 6, 10, "3", 0.197887095774828, 0.791948921305025,
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6935L, 4, 8, "3", 0.158718228300694, 0.574505135440231,
6935L, 4, 8, "4", 0.425494864559769, 1,
6935L, 6, 10, "1", 0.286161620112478, 0.286161620112478,
6935L, 6, 10, "2", 0.195779166723664, 0.481940786836143,
6935L, 6, 10, "3", 0.171463095126721, 0.653403881962863,
6935L, 6, 10, "4", 0.346596118037137, 1,
6968L, 0, 4, "1", 0.0431880871508736, 0.0431880871508736,
6968L, 0, 4, "2", 0.200503023362852, 0.243691110513725,
6968L, 0, 4, "3", 0.214197816664989, 0.457888927178714,
6968L, 0, 4, "4", 0.542111072821286, 1,
6968L, 2, 6, "1", 0.100487227615329, 0.100487227615329,
6968L, 2, 6, "2", 0.255594556292939, 0.356081783908268,
6968L, 2, 6, "3", 0.207900118921494, 0.563981902829762,
6968L, 2, 6, "4", 0.436018097170238, 1,
6968L, 4, 8, "1", 0.186432425545201, 0.186432425545201,
6968L, 4, 8, "2", 0.269928524560505, 0.456360950105706,
6968L, 4, 8, "3", 0.192501902969734, 0.64886285307544,
6968L, 4, 8, "4", 0.35113714692456, 1,
6968L, 6, 10, "1", 0.274004045808223, 0.274004045808223,
6968L, 6, 10, "2", 0.267763673106463, 0.541767718914686,
6968L, 6, 10, "3", 0.172404901382205, 0.714172620296891,
6968L, 6, 10, "4", 0.285827379703109, 1,
7013L, 0, 4, "1", 0.00994874071097068, 0.00994874071097068,
7013L, 0, 4, "2", 0.140426229977791, 0.150374970688762,
7013L, 0, 4, "3", 0.309585757597328, 0.45996072828609,
7013L, 0, 4, "4", 0.54003927171391, 1,
7013L, 2, 6, "1", 0.0422622648050996, 0.0422622648050996,
7013L, 2, 6, "2", 0.285872080915151, 0.328134345720251,
7013L, 2, 6, "3", 0.256355549117556, 0.584489894837807,
7013L, 2, 6, "4", 0.415510105162193, 1,
7013L, 4, 8, "1", 0.15242878188687, 0.15242878188687,
7013L, 4, 8, "2", 0.31476137214937, 0.46719015403624,
7013L, 4, 8, "3", 0.206097882161428, 0.673288036197668,
7013L, 4, 8, "4", 0.326711963802332, 1,
7013L, 6, 10, "1", 0.272956280354403, 0.272956280354403,
7013L, 6, 10, "2", 0.290399788375267, 0.563356068729669,
7013L, 6, 10, "3", 0.176950965072995, 0.740307033802664,
7013L, 6, 10, "4", 0.259692966197336, 1,
7118L, 0, 4, "1", 0.0375919968365658, 0.0375919968365658,
7118L, 0, 4, "2", 0.158209623061327, 0.195801619897893,
7118L, 0, 4, "3", 0.163626711594952, 0.359428331492845,
7118L, 0, 4, "4", 0.640571668507155, 1,
7118L, 2, 6, "1", 0.0816723510889884, 0.0816723510889884,
7118L, 2, 6, "2", 0.198814929313926, 0.280487280402915,
7118L, 2, 6, "3", 0.192361358602148, 0.472848639005062,
7118L, 2, 6, "4", 0.527151360994938, 1,
7118L, 4, 8, "1", 0.144011016381609, 0.144011016381609,
7118L, 4, 8, "2", 0.229938308168349, 0.373949324549957,
7118L, 4, 8, "3", 0.209979775535034, 0.583929100084991,
7118L, 4, 8, "4", 0.416070899915009, 1,
7118L, 6, 10, "1", 0.218537867947429, 0.218537867947429,
7118L, 6, 10, "2", 0.261795216734659, 0.480333084682088,
7118L, 6, 10, "3", 0.203664904288282, 0.68399798897037,
7118L, 6, 10, "4", 0.31600201102963, 1,
7120L, 0, 4, "1", 0.0561309537541315, 0.0561309537541315,
7120L, 0, 4, "2", 0.107940252166977, 0.164071205921108,
7120L, 0, 4, "3", 0.191736677962362, 0.35580788388347,
7120L, 0, 4, "4", 0.64419211611653, 1,
7120L, 2, 6, "1", 0.0935095644371001, 0.0935095644371001,
7120L, 2, 6, "2", 0.153264368100256, 0.246773932537356,
7120L, 2, 6, "3", 0.225963015584044, 0.4727369481214,
7120L, 2, 6, "4", 0.5272630518786, 1,
7120L, 4, 8, "1", 0.140052167112151, 0.140052167112151,
7120L, 4, 8, "2", 0.205748727968767, 0.345800895080919,
7120L, 4, 8, "3", 0.233814699659819, 0.579615594740738,
7120L, 4, 8, "4", 0.420384405259263, 1,
7120L, 6, 10, "1", 0.205155536927237, 0.205155536927237,
7120L, 6, 10, "2", 0.242997295160258, 0.448152832087495,
7120L, 6, 10, "3", 0.219705125089801, 0.667857957177296,
7120L, 6, 10, "4", 0.332142042822704, 1,
7252L, 0, 4, "1", 0.0183388078785206, 0.0183388078785206,
7252L, 0, 4, "2", 0.0876869262462668, 0.106025734124787,
7252L, 0, 4, "3", 0.25762736320843, 0.363653097333217,
7252L, 0, 4, "4", 0.636346902666783, 1,
7252L, 2, 6, "1", 0.0390616611119124, 0.0390616611119124,
7252L, 2, 6, "2", 0.190118297980638, 0.22917995909255,
7252L, 2, 6, "3", 0.288290445138429, 0.517470404230979,
7252L, 2, 6, "4", 0.482529595769021, 1,
7252L, 4, 8, "1", 0.104473232515197, 0.104473232515197,
7252L, 4, 8, "2", 0.277877139036067, 0.382350371551264,
7252L, 4, 8, "3", 0.235317373780295, 0.617667745331559,
7252L, 4, 8, "4", 0.382332254668441, 1,
7252L, 6, 10, "1", 0.207820792299011, 0.207820792299011,
7252L, 6, 10, "2", 0.283309755788169, 0.49113054808718,
7252L, 6, 10, "3", 0.196782744769772, 0.687913292856952,
7252L, 6, 10, "4", 0.312086707143048, 1,
7297L, 0, 4, "1", 0.00785755822938533, 0.00785755822938533,
7297L, 0, 4, "2", 0.153332444537952, 0.161190002767337,
7297L, 0, 4, "3", 0.222929070290831, 0.384119073058168,
7297L, 0, 4, "4", 0.615880926941832, 1,
7297L, 2, 6, "1", 0.0344293719661073, 0.0344293719661073,
7297L, 2, 6, "2", 0.217046597892841, 0.251475969858948,
7297L, 2, 6, "3", 0.206120737834054, 0.457596707693003,
7297L, 2, 6, "4", 0.542403292306997, 1,
7297L, 4, 8, "1", 0.0936682515460244, 0.0936682515460244,
7297L, 4, 8, "2", 0.21276083701758, 0.306429088563604,
7297L, 4, 8, "3", 0.219451836052827, 0.525880924616431,
7297L, 4, 8, "4", 0.474119075383569, 1,
7297L, 6, 10, "1", 0.178306030452755, 0.178306030452755,
7297L, 6, 10, "2", 0.177020738362482, 0.355326768815237,
7297L, 6, 10, "3", 0.228720207646885, 0.584046976462122,
7297L, 6, 10, "4", 0.415953023537878, 1,
7348L, 0, 4, "1", 0.0101814635629747, 0.0101814635629747,
7348L, 0, 4, "2", 0.104972445362598, 0.115153908925573,
7348L, 0, 4, "3", 0.287097480787318, 0.402251389712891,
7348L, 0, 4, "4", 0.597748610287109, 1,
7348L, 2, 6, "1", 0.0331900612122885, 0.0331900612122885,
7348L, 2, 6, "2", 0.203211491419722, 0.236401552632011,
7348L, 2, 6, "3", 0.308259340208818, 0.544660892840829,
7348L, 2, 6, "4", 0.455339107159171, 1,
7348L, 4, 8, "1", 0.0934858495228851, 0.0934858495228851,
7348L, 4, 8, "2", 0.273481677368905, 0.36696752689179,
7348L, 4, 8, "3", 0.289379790713271, 0.656347317605061,
7348L, 4, 8, "4", 0.343652682394939, 1,
7348L, 6, 10, "1", 0.176722204678288, 0.176722204678288,
7348L, 6, 10, "2", 0.319492324489453, 0.49621452916774,
7348L, 6, 10, "3", 0.233407433148017, 0.729621962315757,
7348L, 6, 10, "4", 0.270378037684243, 1,
7531L, 0, 4, "1", 0.0786323873348112, 0.0786323873348112,
7531L, 0, 4, "2", 0.187866660106771, 0.266499047441582,
7531L, 0, 4, "3", 0.268014387230259, 0.534513434671841,
7531L, 0, 4, "4", 0.465486565328159, 1,
7531L, 2, 6, "1", 0.12351158919804, 0.12351158919804,
7531L, 2, 6, "2", 0.253451317779287, 0.376962906977328,
7531L, 2, 6, "3", 0.216229816867161, 0.593192723844489,
7531L, 2, 6, "4", 0.406807276155511, 1,
7531L, 4, 8, "1", 0.17759982616213, 0.17759982616213,
7531L, 4, 8, "2", 0.29852730591892, 0.47612713208105,
7531L, 4, 8, "3", 0.164237561601311, 0.640364693682361,
7531L, 4, 8, "4", 0.359635306317639, 1,
7531L, 6, 10, "1", 0.257772913760329, 0.257772913760329,
7531L, 6, 10, "2", 0.284225185982113, 0.541998099742443,
7531L, 6, 10, "3", 0.141223638360368, 0.68322173810281,
7531L, 6, 10, "4", 0.31677826189719, 1,
7563L, 0, 4, "1", 0.0465988857546954, 0.0465988857546954,
7563L, 0, 4, "2", 0.132933377857413, 0.179532263612108,
7563L, 0, 4, "3", 0.226972383856104, 0.406504647468213,
7563L, 0, 4, "4", 0.593495352531787, 1,
7563L, 2, 6, "1", 0.102664848845261, 0.102664848845261,
7563L, 2, 6, "2", 0.190771784242317, 0.293436633087577,
7563L, 2, 6, "3", 0.283315275155558, 0.576751908243136,
7563L, 2, 6, "4", 0.423248091756864, 1,
7563L, 4, 8, "1", 0.159446292384771, 0.159446292384771,
7563L, 4, 8, "2", 0.290655290760112, 0.450101583144882,
7563L, 4, 8, "3", 0.250902299118152, 0.701003882263034,
7563L, 4, 8, "4", 0.298996117736966, 1,
7563L, 6, 10, "1", 0.257189573115149, 0.257189573115149,
7563L, 6, 10, "2", 0.319282861036338, 0.576472434151487,
7563L, 6, 10, "3", 0.214215060007714, 0.790687494159201,
7563L, 6, 10, "4", 0.209312505840799, 1,
7630L, 0, 4, "1", 0.0514414896354321, 0.0514414896354321,
7630L, 0, 4, "2", 0.183634544288851, 0.235076033924283,
7630L, 0, 4, "3", 0.200603133527164, 0.435679167451447,
7630L, 0, 4, "4", 0.564320832548553, 1,
7630L, 2, 6, "1", 0.144409707795469, 0.144409707795469,
7630L, 2, 6, "2", 0.183230770440034, 0.327640478235503,
7630L, 2, 6, "3", 0.233405844745031, 0.561046322980534,
7630L, 2, 6, "4", 0.438953677019466, 1,
7630L, 4, 8, "1", 0.242016712256879, 0.242016712256879,
7630L, 4, 8, "2", 0.185520065950266, 0.427536778207145,
7630L, 4, 8, "3", 0.24121741294995, 0.668754191157095,
7630L, 4, 8, "4", 0.331245808842905, 1,
7630L, 6, 10, "1", 0.308105914056178, 0.308105914056178,
7630L, 6, 10, "2", 0.236401877896767, 0.544507791952945,
7630L, 6, 10, "3", 0.185824910658008, 0.730332702610953,
7630L, 6, 10, "4", 0.269667297389047, 1,
7783L, 0, 4, "1", 0.011625035878035, 0.011625035878035,
7783L, 0, 4, "2", 0.107406422450571, 0.119031458328606,
7783L, 0, 4, "3", 0.191656290013685, 0.310687748342292,
7783L, 0, 4, "4", 0.689312251657708, 1,
7783L, 2, 6, "1", 0.0530479426168522, 0.0530479426168522,
7783L, 2, 6, "2", 0.149178689814506, 0.202226632431359,
7783L, 2, 6, "3", 0.213157704697705, 0.415384337129063,
7783L, 2, 6, "4", 0.584615662870937, 1,
7783L, 4, 8, "1", 0.116687720070647, 0.116687720070647,
7783L, 4, 8, "2", 0.168875938368903, 0.28556365843955,
7783L, 4, 8, "3", 0.220174144888317, 0.505737803327867,
7783L, 4, 8, "4", 0.494262196672133, 1,
7783L, 6, 10, "1", 0.185049473084807, 0.185049473084807,
7783L, 6, 10, "2", 0.191713983966686, 0.376763457051492,
7783L, 6, 10, "3", 0.189294093036569, 0.566057550088061,
7783L, 6, 10, "4", 0.433942449911939, 1,
7789L, 0, 4, "1", 0.0448640947588846, 0.0448640947588846,
7789L, 0, 4, "2", 0.141972816770829, 0.186836911529713,
7789L, 0, 4, "3", 0.216902469599891, 0.403739381129605,
7789L, 0, 4, "4", 0.596260618870395, 1,
7789L, 2, 6, "1", 0.0833808495415708, 0.0833808495415708,
7789L, 2, 6, "2", 0.191035379722643, 0.274416229264214,
7789L, 2, 6, "3", 0.246050452506007, 0.520466681770221,
7789L, 2, 6, "4", 0.479533318229779, 1,
7789L, 4, 8, "1", 0.137995526641596, 0.137995526641596,
7789L, 4, 8, "2", 0.237759433869572, 0.375754960511169,
7789L, 4, 8, "3", 0.239224316461943, 0.614979276973111,
7789L, 4, 8, "4", 0.385020723026889, 1,
7789L, 6, 10, "1", 0.197457951042819, 0.197457951042819,
7789L, 6, 10, "2", 0.279357472488601, 0.476815423531421,
7789L, 6, 10, "3", 0.205130990325603, 0.681946413857024,
7789L, 6, 10, "4", 0.318053586142976, 1,
7851L, 0, 4, "1", 0.0281870078084503, 0.0281870078084503,
7851L, 0, 4, "2", 0.130096178804839, 0.158283186613289,
7851L, 0, 4, "3", 0.278647700078368, 0.436930886691658,
7851L, 0, 4, "4", 0.563069113308342, 1,
7851L, 2, 6, "1", 0.0743621566354618, 0.0743621566354618,
7851L, 2, 6, "2", 0.201678156448789, 0.276040313084251,
7851L, 2, 6, "3", 0.300731917606993, 0.576772230691244,
7851L, 2, 6, "4", 0.423227769308756, 1,
7851L, 4, 8, "1", 0.13053102550948, 0.13053102550948,
7851L, 4, 8, "2", 0.272969113034644, 0.403500138544124,
7851L, 4, 8, "3", 0.272863856871618, 0.676363995415741,
7851L, 4, 8, "4", 0.323636004584259, 1,
7851L, 6, 10, "1", 0.213458072706716, 0.213458072706716,
7851L, 6, 10, "2", 0.304180076370474, 0.517638149077191,
7851L, 6, 10, "3", 0.216287268967106, 0.733925418044297,
7851L, 6, 10, "4", 0.266074581955703, 1,
7863L, 0, 4, "1", 0.0523441990338305, 0.0523441990338305,
7863L, 0, 4, "2", 0.132589859139265, 0.184934058173095,
7863L, 0, 4, "3", 0.157247463625081, 0.342181521798176,
7863L, 0, 4, "4", 0.657818478201824, 1,
7863L, 2, 6, "1", 0.100792520472067, 0.100792520472067,
7863L, 2, 6, "2", 0.166835405856999, 0.267627926329066,
7863L, 2, 6, "3", 0.198278908119827, 0.465906834448893,
7863L, 2, 6, "4", 0.534093165551107, 1,
7863L, 4, 8, "1", 0.168892155268503, 0.168892155268503,
7863L, 4, 8, "2", 0.206877053332137, 0.37576920860064,
7863L, 4, 8, "3", 0.19927843202626, 0.5750476406269,
7863L, 4, 8, "4", 0.4249523593731, 1,
7863L, 6, 10, "1", 0.234067445054442, 0.234067445054442,
7863L, 6, 10, "2", 0.248552099410362, 0.482619544464804,
7863L, 6, 10, "3", 0.188276059072028, 0.670895603536832,
7863L, 6, 10, "4", 0.329104396463168, 1,
7964L, 0, 4, "1", 0.0278349325211102, 0.0278349325211102,
7964L, 0, 4, "2", 0.165745816990126, 0.193580749511237,
7964L, 0, 4, "3", 0.223716540918653, 0.41729729042989,
7964L, 0, 4, "4", 0.58270270957011, 1,
7964L, 2, 6, "1", 0.0801839252725597, 0.0801839252725597,
7964L, 2, 6, "2", 0.220393571212992, 0.300577496485552,
7964L, 2, 6, "3", 0.253670259473774, 0.554247755959325,
7964L, 2, 6, "4", 0.445752244040675, 1,
7964L, 4, 8, "1", 0.146372348424462, 0.146372348424462,
7964L, 4, 8, "2", 0.276633063269349, 0.423005411693811,
7964L, 4, 8, "3", 0.254230466937125, 0.677235878630936,
7964L, 4, 8, "4", 0.322764121369064, 1,
7964L, 6, 10, "1", 0.224159264539015, 0.224159264539015,
7964L, 6, 10, "2", 0.324100113858268, 0.548259378397284,
7964L, 6, 10, "3", 0.206241426633833, 0.754500805031117,
7964L, 6, 10, "4", 0.245499194968883, 1
)
data_means_qi <- tibble::tribble(
~age_group_4, ~.category, ~cumulative, ~.lower, ~.upper, ~.width, ~.point, ~.interval,
0, "1", 0.0417348135383333, 0.0079102324505408, 0.107566297156184, 0.95, "median", "qi",
0, "2", 0.207677153038629, 0.122002599732341, 0.312865785080779, 0.95, "median", "qi",
0, "3", 0.434838104027853, 0.315414879210898, 0.55653188782122, 0.95, "median", "qi",
0, "4", 1, 1, 1, 0.95, "median", "qi",
2, "1", 0.0951515835921597, 0.0379889192980548, 0.179651531149434, 0.95, "median", "qi",
2, "2", 0.315188034664602, 0.210797975340636, 0.431666266311501, 0.95, "median", "qi",
2, "3", 0.54250651214511, 0.420865046452386, 0.661992108485512, 0.95, "median", "qi",
2, "4", 1, 1, 1, 0.95, "median", "qi",
4, "1", 0.170501769302751, 0.0915988721443776, 0.274083008281952, 0.95, "median", "qi",
4, "2", 0.420434910105021, 0.30250490431159, 0.543225583129, 0.95, "median", "qi",
4, "3", 0.628375458280657, 0.506602205458876, 0.744441256765072, 0.95, "median", "qi",
4, "4", 1, 1, 1, 0.95, "median", "qi",
6, "1", 0.257305925730378, 0.157636524812264, 0.374044155684253, 0.95, "median", "qi",
6, "2", 0.511722751047501, 0.386719830208802, 0.637233417500614, 0.95, "median", "qi",
6, "3", 0.695908259206322, 0.56305256350456, 0.810468532024378, 0.95, "median", "qi",
6, "4", 1, 1, 1, 0.95, "median", "qi"
)
data_means_qi <- data_means_qi |>
mutate(.category = factor(.category))
data_100_means <- data_100_means |>
mutate(.category = factor(.category))
# create 100 geom_area() layers
layers <- data_100_means |>
split(~ .draw) |>
lapply(function(x) {
geom_area(
aes(y = .epred, fill = .category),
alpha = .05,
data = x
)
})
# geom_area() stacks the areas as
# 1 - 111111
# - 222222
# - 333333
# 0 - 444444
# but our cumulative probabilities (threshold lines) are computed as
# 1 -
# - 4 | 3
# - 3 | 2
# - 2 | 1
# 0 -
# so we flip the cumulative probabilities during geom_line() with 1 - y
# to put the lines in the correct location in the area plot and then
# we reverse the whole y-axis with scale_y_continuous() to put the areas
# in the correct location. i probably could have reversed a factor
# level idk.
ggplot(data_means_qi) +
aes(x = age_group_4) +
layers +
geom_line(
aes(y = 1 - cumulative, group = .category),
data = data_means_qi |> filter(.category != 4),
linetype = "dashed"
) +
geom_text(
aes(
x = age_group_4 + .5,
y = 1 - cumulative + .1,
label = paste0("VSS ", as.roman(as.numeric(.category)))
),
data = data_means_qi |> filter(age_group_4 == 4),
color = "black",
size = 4
) +
ggokabeito::scale_fill_okabe_ito(breaks = rev) +
scale_x_continuous(
"Age [years]",
labels = function(x) x + 4
) +
scale_y_continuous(
"Cumulative probability",
trans = "reverse",
labels = function(x) 1 - x
) +
guides(color = "none", fill = "none") +
theme_minimal(base_size = 13) +
theme(panel.grid.minor.x = element_blank())
Created on 2024-04-29 with reprex v2.1.0