在使用 R 语言进行科研绘图时，颜色的选择是一件让人特别纠结的事情。本系列文章介绍了 R 语言科研绘图时常用的一些配色。
为了便于使用，本系列文章介绍的所有配色都已收录到了 sciRcolor 项目中，获取方式见下文。
配色方案1
配色代码1：
R
HEX_color1 <- c("#fc97af","#87f7cf","#f7f494","#72ccff","#f7c5a0","#d4a4eb","#d2f5a6","#76f2f2")
RGB_color1 <- c("252,151,175","135,247,207","247,244,148","114,204,255","247,197,160","212,164,235","210,245,166","118,242,242")
配色方案2
配色代码2：
R
HEX_color2 <- c("#b3e2cd","#fdcdac","#cbd5e8","#f4cae4","#e6f5c9","#fff2ae","#f1e2cc","#cccccc")
RGB_color2 <- c("179,226,205","253,205,172","203,213,232","244,202,228","230,245,201","255,242,174","241,226,204","204,204,204")
配色方案3
配色代码3：
R
HEX_color3 <- c("#66c2a5","#fc8d62","#8da0cb","#e78ac3","#a6d854","#ffd92f","#e5c494","#b3b3b3")
RGB_color3 <- c("102,194,165","252,141,98","141,160,203","231,138,195","166,216,84","255,217,47","229,196,148","179,179,179")
配色方案4
配色代码4：
R
HEX_color4 <- c("#c12e34","#e6b600","#0098d9","#2b821d","#005eaa","#339ca8","#cda819","#32a487")
RGB_color4 <- c("193,46,52","230,182,0","0,152,217","43,130,29","0,94,170","51,156,168","205,168,25","50,164,135")
配色方案5
配色代码5：
R
HEX_color5 <- c("#1b9e77","#d95f02","#7570b3","#e7298a","#66a61e","#e6ab02","#a6761d","#666666")
RGB_color5 <- c("27,158,119","217,95,2","117,112,179","231,41,138","102,166,30","230,171,2","166,118,29","102,102,102")
往期推荐****
PlotOnePiece 珍藏了 TigerZ 生信宝库的所有绘图资源，想要我的宝藏吗？我把它们全部都放在了这里🏴☠️：
CNSplot 项目专门针对科研绘图中的高级复杂图形 ，包含了 50 个顶刊绘图复现，每个绘图都提供了测试数据/模板文件 。所有绘图代码都整理到了一个 html 文档 中，并且还配套了视频教程。详细信息见：
sciRplot 项目用于解决 R 语言中科研绘图的问题，包含了 100 种绘图代码（60 种基础绘图 + 40 种进阶绘图 ）。每个绘图都提供了测试数据 ，所有绘图代码都整理到了一个 html 文档中。详细信息见：
sciRcolor 项目用于解决 R 语言科研绘图中颜色选择的问题，包含了 100 种常用配色（60 种离散色 + 40 种连续色 ）。并且提供了一个用来预览配色的在线网站 ，以及用来获取配色的 R 包。详细信息见：
