Hi Pedro,
I see you use dplyr and ggplot2. Are you looking for something like
this:
```
library(ggplot2)
library(dplyr)
test_data <- data.frame(
year = c(rep("2018", 10), rep("2019", 8), rep("2020", 6)),
value = sample(c(1:100), 24)
)
test_data <- test_data %>%
group_by(year) %>%
mutate(cumsum_value = cumsum(value),
x_pos = 1:n())
ggplot(test_data) +
aes(x = x_pos, y = cumsum_value, colour = year) +
geom_point()
```
Best,
Ulrik
On 2020-07-22 13:16, Pedro páramo wrote:
Hi all,
I am trying to draw a plot with cumsum values but each "line" has
different
lengths
Ilibrary(dplyr)
library(tibble)
library(lubridate)
library(PerformanceAnalytics)
library(quantmod)
library(ggplot2)
getSymbols('TSLA')
I want to create the variables:
a<-cumsum(dailyReturn(TSLA, subset = c('2019')) )
b<-cumsum(dailyReturn(TSLA, subset = c('2020')) )
c<-cumsum(dailyReturn(TSLA, subset = c('2018')) )
Each value, on a,b,c has two columns date, and values.
The thing is I want to plot the three lines in one plot with the
maximum
values of a,b,c in this case a has 252 values, and plot the other two
lines
could be in the axis I should put (x <- 1:252) on the axis but I was
not
able for the moment.
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
