介绍
不同期刊配色大多数时候不一样，为了更好符合期刊图片颜色的配色，有人开发了ggsci这个R包。它提供以下函数：
-
scale_color_palname()
-
scale_fill_palname()
对应不同期刊的color和fill函数。
导入数据+R包
library("ggsci")
library("ggplot2")
library("gridExtra")data("diamonds")p1 <- ggplot(subset(diamonds, carat >= 2.2),aes(x = table, y = price, colour = cut)) +geom_point(alpha = 0.7) +geom_smooth(method = "loess", alpha = 0.05, size = 1, span = 1) +theme_bw()p2 <- ggplot(subset(diamonds, carat > 2.2 & depth > 55 & depth < 70),aes(x = depth, fill = cut)) +geom_histogram(colour = "black", binwidth = 1, position = "dodge") +theme_bw()
NPG: Nature Publishing Group
p1_npg <- p1 + scale_color_npg()
p2_npg <- p2 + scale_fill_npg()
grid.arrange(p1_npg, p2_npg, ncol = 2)
AAAS: American Association for the Advancement of Science
p1_aaas <- p1 + scale_color_aaas()
p2_aaas <- p2 + scale_fill_aaas()
grid.arrange(p1_aaas, p2_aaas, ncol = 2)
NEJM:The New England Journal of Medicine
p1_nejm <- p1 + scale_color_nejm()
p2_nejm <- p2 + scale_fill_nejm()
grid.arrange(p1_nejm, p2_nejm, ncol = 2)
Lancet: Lancet journals
p1_lancet <- p1 + scale_color_lancet()
p2_lancet <- p2 + scale_fill_lancet()
grid.arrange(p1_lancet, p2_lancet, ncol = 2)
JAMA: The Journal of the American Medical Association
p1_jama <- p1 + scale_color_jama()
p2_jama <- p2 + scale_fill_jama()
grid.arrange(p1_jama, p2_jama, ncol = 2)
UCSCGB: UCSC Genome Browser
p1_ucscgb <- p1 + scale_color_ucscgb()
p2_ucscgb <- p2 + scale_fill_ucscgb()
grid.arrange(p1_ucscgb, p2_ucscgb, ncol = 2)
Tron Legacy
p1_tron <- p1 + theme_dark() + theme(panel.background = element_rect(fill = "#2D2D2D"),legend.key = element_rect(fill = "#2D2D2D")) +scale_color_tron()
p2_tron <- p2 + theme_dark() + theme(panel.background = element_rect(fill = "#2D2D2D")) +scale_fill_tron()
grid.arrange(p1_tron, p2_tron, ncol = 2)
GSEA: GSEA GenePattern
library("reshape2")data("mtcars")
cor <- cor(unname(cbind(mtcars, mtcars, mtcars, mtcars)))
cor_melt <- melt(cor)p3 <- ggplot(cor_melt, aes(x = Var1, y = Var2, fill = value)) +geom_tile(colour = "black", size = 0.3) +theme_bw() +theme(axis.title.x = element_blank(),axis.title.y = element_blank())p3_gsea <- p3 + scale_fill_gsea()
p3_gsea_inv <- p3 + scale_fill_gsea(reverse = TRUE)
grid.arrange(p3_gsea, p3_gsea_inv, ncol = 2)
Reference
- ggsci
