ggplot可视化表格，来替代Excal吧 / 四六文摘

写在前面

表格用于展示原始数据，用于展示处理程度最低的数据，对于了解研究的最原始的状况，最真实的尚未人工修饰的十分重要。

ggplot 展示表格

library(ggpubr)

df <- head(iris)

展示基本数据表格

默认灰色主题

# Default table # Remove row names using rows = NULL ggtexttable(df, rows = NULL)

#### 无边框模式（ttheme(“blank”)）# Blank theme ggtexttable(df, rows = NULL, theme = ttheme("blank"))

#### 双线表（ttheme(“light”)）# light theme ggtexttable(df, rows = NULL, theme = ttheme("light"))

#### 白底黑字全边框# classic theme ggtexttable(df, rows = NULL, theme = ttheme("classic"))

仅仅只有竖线表格

# minimal theme ggtexttable(df, rows = NULL, theme = ttheme("minimal"))

Excel格式表格

# Medium blue (mBlue) theme ggtexttable(df, rows = NULL, theme = ttheme("mBlue"))

#### 如何修改背景颜色

colnames.style 用于设置表头，color设置表头边框颜色，fill设置表头背景填充颜色
tbody.style：用于设置表格主题，color设置表头边框颜色，fill设置表头背景填充颜色

ggtexttable(df, rows = NULL, theme = ttheme( colnames.style = colnames_style(color = "white", fill = "#8cc257"), tbody.style = tbody_style(color = "black", fill = c("#e8f3de", "#d3e8bb")) ) )

如何对表格背景使用一组颜色

# Use RColorBrewer palette # Provide as many fill color as there are rows in the table body, here nrow = 6 ggtexttable(df, theme = ttheme( colnames.style = colnames_style(fill = "white"), tbody.style = tbody_style(fill = get_palette("RdBu", 6)) ) )

# Text justification #:::::::::::::::::::::::::::::::::::::::::::::: # Default is "centre" for the body and header, and "right" for the row names. # Left justification: hjust=0, x=0.1 # Right justification: hjust=1, x=0.9 tbody.style = tbody_style(color = "red", fill = c("#e8f3de", "#d3e8bb"), hjust=1, x=0.9)

library(scales) show_col(c("#e8f3de", "#d3e8bb"))

ggtexttable(head(iris), rows = NULL, theme = ttheme( colnames.style = colnames_style(color = "white", fill = "blue"), tbody.style = tbody.style ) )

#### 如何高亮一个单元格tab <- ggtexttable(head(iris), rows = NULL, theme = ttheme("classic")) tab <- table_cell_font(tab, row = 3, column = 2, face = "bold") tab <- table_cell_bg(tab, row = 4, column = 3, linewidth = 5, fill="darkolivegreen1", color = "darkolivegreen4") tab

如何组合图形和表格

# Combine density plot and summary table #::::::::::::::::::::::::::::::::::::: # Density plot of "Sepal.Length" density.p <- ggdensity(iris, x = "Sepal.Length", fill = "Species", palette = "jco")


# Draw the summary table of Sepal.Length

# Descriptive statistics by groups

stable <- desc_statby(iris, measure.var = "Sepal.Length",

grps = "Species")

stable <- stable[, c("Species", "length", "mean", "sd")]

stable.p <- ggtexttable(stable, rows = NULL,

theme = ttheme("mOrange"))

# Arrange the plots on the same page ggarrange(density.p, stable.p, ncol = 1, nrow = 2, heights = c(1, 0.5))

ggplot可视化表格，来替代Excal吧