Question

我在10个月内在特定品牌的8个不同国家/地区创造了收入。 data.frame看起来类似于：

Month    Country    Revenue
1         Fr         1100
1         Uk          900
1         It          800
2         Fr         1200
2         Uk         1050
2         It          900
3         Fr         1350
3         Uk         1200
3         It         1000
4         Fr         1300
4         Uk         1250
4         It          950

# Code to replicate the above mentioned data frame   
data.Frame <- data.frame(Month = c(1,1,1,2,2,2,3,3,3,4,4,4),Country = c("Fr","Uk","It"),
                         Revenue = c(1100,900,800,1200,1050,900,1350,1200,1000,1300,1250,950))

现在我有一个每个国家/地区每个国家的收入的条形图

plot_rev <- ggplot(data.Frame, aes(Month, Revenue, fill = Country, ymax = max(Revenue)+100,
                   title = "Revenue (in 1000€) per Country per Month in 2014"))
plot_rev+geom_bar(stat = "identity", position = "dodge")

我还使用函数

计算了化合物年增长率（CAGR）

annual.growth.rate <- function(a){

  T1 <- max(a$Month) - min(a$Month)+1
  FV <- a[which(a$Month == max(a$Month)),"Revenue"]
  SV <- a[which(a$Month == min(a$Month)),"Revenue"]
  cagr <- ((FV/SV)^(1/T1)) -1

}

gr <- data.Frame(x = unique(data.Frame$Country),y= 1:length(unique(data.Frame$Country)))

colnames(gr) <- c("country","cagr")

for(i in 1: nrow(gr)){
    gr[i,2] <- round(annual.growth.rate(data.Frame[which(data.Frame$Country == gr[i,1]),]),digits = 2)
}

# Growth Curve Function
FV = PV*(1+cagr)^T

我的问题是，是否可以在现有条形图上绘制生长曲线图层？如果是，那怎么样？如果没有，那么可以单独进行吗？我试图查看包curve3d中的emdbook，但它只需要2个独立变量。

提前感谢您的帮助!!

Answer 1

我不确定我的答案，但可能只是你想要这个吗？

#your function
  annual.growth.rate <- function(a){

  T1 <- max(a$Month) - min(a$Month)+1
  FV <- a[which(a$Month == max(a$Month)),"Revenue"]
  SV <- a[which(a$Month == min(a$Month)),"Revenue"]
  cagr <- ((FV/SV)^(1/T1)) -1
}

# recalculate gr, but faster and more efficient (no loop)
library(plyr)
gr=ddply(data.frame,c("Country"),function(x) cagr=round(annual.growth.rate(x),digits = 2))
#get T as well (although it miht even be shorter to put into your funtion return(list(T1=T1,...))
grT=ddply(data.frame,c("Country"),function(x) T1=(max(x$Month) - min(x$Month)+1))

# Growth Curve Function => just get the values and plot these??
data.frame$FV = data.frame$Revenue*(1+gr$V1)^grT$V1

# plot values with line?
ggplot(data.frame, aes(Month, Revenue, fill = Country, ymax = max(Revenue)+100,title = "Revenue (in 1000€) per Country per Month in 2014"))+
geom_bar(stat = "identity", position = "dodge")+
  geom_line(aes(Month,FV,col=Country),size=2)

在R中绘制复合年增长率（3个独立变量）

1 个答案: