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| L.shell.Day5 a.shell.Day5 b.shell.Day5 Hex.shell.Day5 L.shell.Day1 a.shell.Day1 b.shell.Day1 Hex.shell.Day1 | |
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| 66.3229415513141 -24.111369099576 39.7728341494609 #93AA5D 58.1540227813111 -23.0669463006107 38.2813063634674 #7E944B | |
| 64.6260088982507 -23.0551880427465 39.0952662051378 #90A55A 60.4201808134033 -23.0585321315515 36.1301503850347 #839A55 | |
| 62.638746539943 -23.1187094013045 32.8599147413697 #87A061 58.7036469706485 -21.8716320708043 34.9380452711303 #809553 | |
| 67.61048015355 -23.2175402862915 40.230290613199 #98AD5F 63.0672175749311 -22.991971008248 34.7383402974046 #89A15E | |
| 64.3331001185739 -21.9684495952967 31.5206462757231 #8DA468 60.5348854084802 -22.3021876904622 34.7546151482583 #849A58 | |
| 66.1819732204765 -24.8906149826131 39.5657567408315 #91AA5D 59.1996960862152 -23.7160502636571 39.0983279341812 #80974C | |
| 59.6451301050493 -20.611894547733 31.5161323695385 #83975C 56.9817060988782 -20.8530393665519 36.327131290593 #7E904C | |
| 71.0106472301107 -21.6624134006135 51.1019978805506 #AAB552 56.2201159161083 -22.9764473837931 36.3023740699366 #788F4A | |
| 69.943618026063 -25.3009351120067 48.2575129759043 #9FB455 56.9610351660127 -23.2194608062884 37.2503598642816 #7A914A | |
| 61.0622881662065 -21.2857338846404 32.3557335596306 #869B5E 57.398673319426 -22.7656101992852 35.26906523228 #7B924F | |
| 64.6121327372442 -20.0933982994028 27.7235402293372 #8FA470 63.0363593204379 -21.0421514239945 34.4915718156573 #8DA05F | |
| 66.2829014420081 -24.4457375531628 41.2088312227066 #93AA5A 58.8281606387755 -23.4264648074209 36.0884581675454 #7E9651 | |
| 63.4950263883584 -23.9411602169943 36.8230018053477 #8AA25B 58.4267503030276 -22.2805800945679 34.0411461676972 #7E9454 | |
| 76.0918638983337 -21.6899088611664 45.6763230149528 #B6C36B 63.3711471889494 -23.7025567509236 38.4471564701978 #8BA258 | |
| 59.9379204120838 -21.1396751478403 31.8968826335501 #83985C 57.5564258353104 -21.848860377722 34.9849021453467 #7D9250 | |
| 57.9724402712186 -21.376337574352 31.3582406375055 #7D9358 56.7480118593672 -22.1802774050023 36.4968997876015 #7B904B | |
| 71.0941348658102 -20.1610924510447 36.5994634242889 #A6B570 60.7394567293813 -21.0164015114277 32.9780540362888 #869A5C | |
| 66.0293806643224 -25.7809715770129 39.8421045964309 #8FAA5C 59.2800183253245 -23.0372907566821 36.1769778273027 #809752 | |
| 68.1586385244417 -24.5351089868345 43.133651500236 #99AF5B 61.4856642587066 -23.4713072207751 35.979154257141 #859D58 | |
| 52.2753575710212 -20.6467169977807 30.6776300493207 #6F844B 49.7502952470034 -19.3813563752589 31.1149729577973 #6B7D44 | |
| 62.7569239919289 -23.143993210214 41.6702598261785 #8CA050 57.1953518698048 -21.7580468744708 35.5490680922086 #7C914E | |
| 60.7852474118216 -23.1839481284732 36.6055971191918 #849B55 57.0196372927729 -22.9276877097306 37.8414158386121 #7B9149 | |
| 64.5738121407568 -22.8850688322661 33.3910523603764 #8DA565 60.4488955971558 -22.817812121043 35.1440189671247 #839A57 | |
| 61.6139369497695 -25.1896238370904 39.6471362268545 #849E51 58.3355995894783 -24.1634822371787 37.4696438729551 #7C954D | |
| 59.8849476276429 -27.0326010449023 48.8066104019986 #809A39 57.9278981800948 -24.3791613512095 38.4551877352887 #7B944A | |
| 62.2971738413367 -20.4946643772659 29.3004237067234 #899E67 60.5086832801709 -22.3184973150766 33.1568470760616 #839A5B | |
| 52.2018316080517 -21.2663635489388 33.2104345614868 #6F8446 52.3884058329639 -22.7975664827331 38.0122951161735 #6F853D | |
| 65.4193040582982 -22.9039335754613 40.1341408009954 #93A75A 58.5747499147915 -22.5426479265269 34.2295976752442 #7E9554 | |
| 65.8654035325187 -22.5193124234019 40.2256404663632 #95A85B 59.8180785581223 -22.1330403651874 35.8801410145188 #839854 | |
| 73.792288529129 -21.3874389511542 47.7878786080719 #B1BC60 59.2232077705968 -23.3139131783088 35.5800962741547 #7F9753 | |
| 72.0788437542591 -23.503602212393 45.2833012109092 #A7B961 59.1951967275694 -23.5507745195666 36.5638970317146 #7F9751 | |
| 56.1225590567848 -23.6039577295436 37.1775666923824 #778F48 54.6407014289351 -23.2726741591867 37.8261311545669 #748B43 | |
| 66.5454708960459 -25.1721388095312 42.5139018332649 #93AB58 56.1626672587753 -23.2613931409152 35.7063995828098 #778F4B | |
| 64.8574599000608 -23.6470824382489 36.3326879672307 #8EA660 57.5284039554013 -22.0835208320635 35.9737637705028 #7D924E | |
| 73.3477809148274 -20.8556045883356 48.432430379472 #B1BB5E 59.0710757921555 -24.4041293766345 38.4097099203234 #7E974D | |
| 67.327765374653 -22.7834718877701 41.1229145452319 #99AC5D 59.9696776424023 -23.4461526643125 36.041390005225 #819954 | |
| 70.6121917193181 -25.2770791180709 42.3500272341405 #9EB663 62.5479113957045 -24.0799892290489 38.3740135107014 #88A056 |
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| # used to write out data | |
| #comboIWAll %>% | |
| #select(L.shell.Day5, a.shell.Day5, b.shell.Day5, Hex.shell.Day5, L.shell.Day1, a.shell.Day1, b.shell.Day1, Hex.shell.Day1) %>% | |
| #write.table(., file = "df.txt", quote=F, na = "", sep = "\t", row.names=F) | |
| library(plotly) | |
| library(readr) | |
| library(rgl) | |
| df <- read_tsv("https://gist.github.com/bhive01/3c75ca4e48eb033581a67959420232dd/raw/94b9daa2eb7c81e3ce5c764f2d3c402f66a265c3/df.txt") | |
| #example plotly 3d scatter | |
| # all markers should be blue | |
| # works | |
| plot_ly( | |
| x = c(9 ,8 ,5 ,1), | |
| y = c(1, 2, 4, 8), | |
| z = c(11, 8, 15, 3), | |
| type="scatter3d", | |
| mode="markers" | |
| ) | |
| # modified example plot with Hex-defined colors | |
| # works | |
| plot_ly( | |
| x = c(9 ,8 ,5 ,1), | |
| y = c(1, 2, 4, 8), | |
| z = c(11, 8, 15, 3), | |
| color = c("#FF0000", "#00FF00", "#0000FF", "#CCCCCC"), | |
| colors = c("#FF0000", "#00FF00", "#0000FF", "#CCCCCC"), | |
| type="scatter3d", | |
| mode="markers" | |
| ) | |
| # imported data plotting Day 1 data | |
| # for some reason the colors are all jumbled | |
| # does not work | |
| plot_ly( | |
| data = df, | |
| x = L.shell.Day1, | |
| y = a.shell.Day1, | |
| z = b.shell.Day1, | |
| color = Hex.shell.Day1, | |
| colors = Hex.shell.Day1, | |
| type="scatter3d", | |
| mode="markers", | |
| marker = list(size = 20) | |
| ) | |
| #comparison RGL-based plot for Day 1 data | |
| # clear trend in color (as expected) | |
| plot3d(df$L.shell.Day1, df$a.shell.Day1, df$b.shell.Day1, col = df$Hex.shell.Day1, size=25) | |
| # Day 5 data | |
| # Shows clear trend as expected | |
| plot_ly( | |
| data = df, | |
| x = L.shell.Day5, | |
| y = a.shell.Day5, | |
| z = b.shell.Day5, | |
| color = Hex.shell.Day5, | |
| colors = Hex.shell.Day5, | |
| type="scatter3d", | |
| mode="markers", | |
| marker = list(size = 20) | |
| ) | |
| # Day 1 data, this time supplying colors through marker.color (list) | |
| # works :/ | |
| plot_ly( | |
| data = df, | |
| x = L.shell.Day1, | |
| y = a.shell.Day1, | |
| z = b.shell.Day1, | |
| type="scatter3d", | |
| mode="markers", | |
| marker = list(size = 20, color = toRGB(Hex.shell.Day1)) | |
| ) |
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| Session info ------------------------------------------------------------------------------------------------------------------------------------------------- | |
| setting value | |
| version R version 3.2.5 Patched (2016-04-18 r70561) | |
| system x86_64, darwin13.4.0 | |
| ui AQUA | |
| language (EN) | |
| collate en_US.UTF-8 | |
| tz America/Los_Angeles | |
| date 2016-05-03 | |
| Packages ----------------------------------------------------------------------------------------------------------------------------------------------------- | |
| package * version date source | |
| assertthat 0.1 2013-12-06 CRAN (R 3.2.0) | |
| base64enc 0.1-3 2015-07-28 CRAN (R 3.2.0) | |
| colorspace 1.2-6 2015-03-11 CRAN (R 3.2.0) | |
| curl 0.9.7 2016-04-10 CRAN (R 3.2.4) | |
| DBI 0.3.1 2014-09-24 CRAN (R 3.2.0) | |
| devtools 1.11.1.9000 2016-04-29 Github (hadley/devtools@fe27701) | |
| digest 0.6.9 2016-01-08 CRAN (R 3.2.3) | |
| dplyr 0.4.3.9001 2016-04-29 Github (hadley/dplyr@5e2b40e) | |
| ggplot2 * 2.1.0 2016-03-01 CRAN (R 3.2.4) | |
| gridExtra 2.2.1 2016-02-29 CRAN (R 3.2.4) | |
| gtable 0.2.0.9000 2016-02-26 Github (hadley/gtable@0ed36a4) | |
| htmltools 0.3.5 2016-03-21 CRAN (R 3.2.4) | |
| htmlwidgets 0.6.1 2016-04-29 Github (ramnathv/htmlwidgets@8d01646) | |
| httr 1.1.0 2016-01-28 CRAN (R 3.2.3) | |
| jsonlite 0.9.19 2015-11-28 CRAN (R 3.2.2) | |
| magrittr 1.5 2014-11-22 CRAN (R 3.2.0) | |
| memoise 1.0.0 2016-01-29 CRAN (R 3.2.3) | |
| munsell 0.4.3 2016-02-13 CRAN (R 3.2.3) | |
| plotly * 3.5.1 2016-04-29 Github (ropensci/plotly@5e0ad36) | |
| plyr 1.8.3.9000 2015-10-16 Github (hadley/plyr@9d8294e) | |
| R6 2.1.2 2016-01-26 CRAN (R 3.2.3) | |
| RColorBrewer 1.1-2 2014-12-07 CRAN (R 3.2.0) | |
| Rcpp 0.12.4 2016-03-26 CRAN (R 3.2.4) | |
| readr * 0.2.2.9000 2016-04-29 Github (hadley/readr@870058a) | |
| rgl * 0.95.1441 2016-01-04 CRAN (R 3.2.3) | |
| scales 0.4.0.9000 2016-02-26 Github (hadley/scales@646b6a4) | |
| tibble 1.0-1 2016-04-01 Github (hadley/tibble@cb38672) | |
| tidyr 0.4.1.9000 2016-04-29 Github (hadley/tidyr@c889f4a) | |
| viridis 0.3.4 2016-04-07 Github (sjmgarnier/viridis@e48e9c0) | |
| withr 1.0.1 2016-02-04 CRAN (R 3.2.3) | |
| yaml 2.1.13 2014-06-12 CRAN (R 3.2.0) |
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If you want to map
L.shell.Day1tocolor, note thatL.shell.Day1is numeric, socolorsshould be the extent of the palette -- https://github.com/ropensci/plotly/blob/master/vignettes/intro.Rmd#sequential-color-mappingsplot_ly( data = df, x = L.shell.Day1, y = a.shell.Day1, z = b.shell.Day1, color = L.shell.Day1, colors = range(Hex.shell.Day1), type="scatter3d", mode="markers" )