I have a dataframe that looks like this:
Month value
1 2018-07 0.5241422
2 2018-08 0.6197477
3 2018-08 3.3603833
4 2018-10 0.5357588
5 2018-09 0.8397401
I would like to plot it to something similar to these graphs below; while the error bar range can actually show the max the min of "value" each Month :
I won't need mean +/Ci, I will just need it to show the max and min value by month, and mean in the middle also (not necessary)
I've tried to duplicated a few solutions from Scatter plot with error bars
However, the main problem is that I cannot make the min and max value specific to each month, instead, it will show the actual max & min value of the whole data frame.
A similar result to what I need is this...
df %>%
ggplot(aes(x = Month, y = value)) +
geom_boxplot(alpha = 0.4) +
theme_minimal() +
expand_limits(y = 0) +
labs(y = "")
It would be very appreciated for some help. Thanks!
I see you updated your question and I modified my answer accordingly. You can calculate the min,max and mean first and then used calculated data to create the plot. Is this what you want?
library(tidyverse)
library(lubridate)
data <- tibble(
date = rep(seq(ymd("2019-01-01"),ymd("2019-12-01"),by = "1 month"),10),
value = 1 +runif(120)
) %>%
arrange(date)
data_range <- data %>%
group_by(date) %>%
summarise(max = max(value),
min = min(value),
mean = mean(value))
data_range %>%
ggplot(aes(x = date,y = mean)) +
geom_line() +
geom_point() +
geom_errorbar(aes(ymin = min, ymax = max))
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