Hi,

I have a dataset with groups and I want to plot three lines of each group representing one variable, the lines should show 95% CI.

I read about geom_ribbon but I couldn't success to do it. Can you please provide a clear example?

Thanks

Hi,

I have a dataset with groups and I want to plot three lines of each group representing one variable, the lines should show 95% CI.

I read about geom_ribbon but I couldn't success to do it. Can you please provide a clear example?

Thanks

example

```
library(tidyverse)
# Generate example data
(huron <- data.frame(year = 1875:1972, level1 = as.vector(LakeHuron),
level2 = 1.1*as.vector(LakeHuron)) %>% pivot_longer(
cols=-year,
names_to="group",
values_to = "level"
) %>% mutate(
numbers_below_level = level-9,
numbers_above_level = level +5
)
)
# plot the data
(h <- ggplot(huron, aes(x=year,group=group)) +
geom_ribbon(aes(ymin = numbers_below_level,
ymax =numbers_above_level),
fill = "grey70",alpha=.5) +
geom_line(aes(y = level,colour=group),size=2))
```

Thanks. I already have the data as a csv. I need to define the ymin and ymax. I do not understand why in the example you use 9 and 5?

Because I didn't calculate anything with confidence intervals.... Once you have your data, you can plot your data. I thought you were asking a plotting question, are you asking a modelling question?

I think I need to calculate summary statistics of my data first in order to define the ci bands!

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