How graph specific data set in R?-CodePudding

I have a data frame as follows:

age-group	a	b
15-19	0.113152976	0.107349538
20-24	0.302890507	0.365912750
25-29	0.274024612	0.244849695
30-34	0.175444951	0.153582407
35-39	0.096576950	0.094900555
40-44	0.033532932	0.030508273
45-49	0.004377071	0.002896782

I need to plot them based on age groups. The final graph should be something like the ensuing graph:

CodePudding user response：

The easiest way to achieve this is to reshape your data into long format:

library(ggplot2)
library(tidyr)

ggplot(pivot_longer(SVD, cols = c("a", "b")),
       aes(age.group, value, group = name, linetype = name))  
  geom_line()  
  labs(x = "Initial Age for Each Age Group",
       y = "Proportional Share of Fertility",
       linetype = "")  
  theme_classic()  
  theme(legend.position = "bottom")

^{Created on 2022-02-02 by the reprex package (v2.0.1)}

Data taken from question

SVD <- structure(list(age.group = c("15-19", "20-24", "25-29", "30-34", 
"35-39", "40-44", "45-49"), a = c(0.113152976, 0.302890507, 0.274024612, 
0.175444951, 0.09657695, 0.033532932, 0.004377071), b = c(0.107349538, 
0.36591275, 0.244849695, 0.153582407, 0.094900555, 0.030508273, 
0.002896782)), class = "data.frame", row.names = c(NA, -7L))