R语言 使用facet_wrap的饼图 一般来说,Facetting是指将输出的图表(plot)窗口分割成网格,在同一区域显示类似的图表。这可以通过R编程语言中的ggplot2包来实现。 语法:facet_wrap(facet, nrow, ncol, scales, shrink, dir, strip.position) 其中, facets –分组变量的集合(数据表 nrow, ncol –分别指定行和列的...
colnames(dd) <- c("x_value", "Predicted_value", "State_CD") DevMeanSt <- ddply(dd, c("State_CD"), function(df)mean(df$Predicted_value)) colnames(DevMeanSt) <- c("State_CD", "mean") DevSdSt <- ddply(dd, c("State_CD"), function(df)sd(df$Predicted_value) ) colnames(De...
Target: I would like to produced a 3facetboxplot, wherefacetone be comparing dataset ofO1, R1, and C1. Onfacet 2, i would like to seeboxplotforO2, R2, and C2, and likewise for the 3rdfacet. Example: I am looking for aplotlike attached. the example plot is2 face...
I am writing a function to plot different data sets, so I am using a function argument to select the column I want to facet by. In this case, I want to create facets for each unique class in broad but I want the facet label to include the sum of all percBackground values...
这样需要用到stringr::str_wrap().参数。 # Helper function for string wrapping.# Default 20 character target width.swr=function(string,nwrap=20){paste(strwrap(string,width=nwrap),collapse="\n")}swr=Vectorize(swr)# Create line breaks in YearCredit$year=swr(Credit$year)# plot with yearggplo...
谢谢。 plots <- dlply(dacc, .(SIC), function(x){ ggplot(x, aes(x = PER)) + geom_line(aes(y = MEAN, group = NLEAD, color = NLEADMEAN)) + geom_line(aes(y = MED, 浏览3提问于2013-11-23得票数 3 回答已采纳
library(ggplot2) library(tidyverse) # 创建数据帧 data <- data.frame(lat = c(37.7749, 39.9042, 38.8251, 37.8162), long = c(-122.4194, -121.9357, -122.3374, -122.4250), color = c("red", "blue", "green", "orange")) # 设置地图参数 map_params <- function(map_obj) { map_obj$region...
() function is used to plot the chart ggplot(diamonds, aes(x=factor(color), y=carat, fill=color)) + # geom_boxplot() function is used to draw ridgeline plot geom_boxplot()+ # facet_wrap() function divides the plot in facets according # to category of clarity facet_wrap(~clarity)...
(econdata$Region) variable_labeller2 <- function(variable,value){ if (variable=='measure') { return(variable_names[value]) } else { return(region_names) } } ggplot(econdatalong, aes(x=Country, y=value, fill=Region))+ geom_bar(stat='identity')+ facet_grid(measure~Region, scales="...
Theaes()function The hardest thing to understand in ggplot2 is theaes()function. Theaes()function enables you to create a set of mappings from data (in your dataframe) to the aesthetic attributes of the plot. That doesn’t make sense to many people, so let me quickly explain. ...