I want to plot 3 lines using ggplot2. My data looks like this
print(x)
V1 V2 V3 V4
1 -4800 25195.73 7415.219 7264.28
2 -2800 15195.73 5415.219 7264.28
From this example, I understand that I would need to reshape my data to something like this:
id x y
1 1 -4800 25195.73
2 1 -2800 15195.73
3 2 -4800 7415.219
4 2 -2800 5415.219
5 3 -4800 7264.28
6 3 -2800 7264.28
How do I do this reshaping?
Use reshape2
library(reshape2)
x$id <- seq_len(nrow(x))
melted <- melt(x, id.vars = c('id','V1'))
# rename
names(melted) <- c('id', 'x', 'variable', 'y')
That's now very simple with the newish tidyr::pivot_longer
library(tidyverse)
mydat <- read.table(text = "V1 V2 V3 V4
1 -4800 25195.73 7415.219 7264.28
2 -2800 15195.73 5415.219 7264.28")
mydat %>% pivot_longer(cols = -V1)
#> # A tibble: 6 x 3
#> V1 name value
#> <int> <chr> <dbl>
#> 1 -4800 V2 25196.
#> 2 -4800 V3 7415.
#> 3 -4800 V4 7264.
#> 4 -2800 V2 15196.
#> 5 -2800 V3 5415.
#> 6 -2800 V4 7264.
# or you could then pipe this directly to your ggplot call
mydat %>%
pivot_longer(cols = -V1) %>%
ggplot(aes(V1, value, color = name)) +
geom_line()
Created on 2020-07-30 by the reprex package (v0.3.0)
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