Type | Respiratory Rate |
---|---|
C | 20 |
C | 21 |
M | 20 |
M | 18 |
N | 17 |
N | 16 |
C | 19 |
C | 17 |
M | 17 |
M | 19 |
N | 23 |
N | 18 |
C | 16 |
C | 19 |
M | 20 |
M | 21 |
N | 20 |
N | 20 |
You can do it with the ggplot2
package.
Note: Please share your sample data this way instead of pasting a table in your post
library(tidyverse, quietly = TRUE)
data <- tibble::tribble(
~Type, ~Respiratory.Rate,
"C", 20,
"C", 21,
"M", 20,
"M", 18,
"N", 17,
"N", 16,
"C", 19,
"C", 17,
"M", 17,
"M", 19,
"N", 23,
"N", 18,
"C", 16,
"C", 19,
"M", 20,
"M", 21,
"N", 20,
"N", 20
)
data %>%
ggplot(aes(sample = Respiratory.Rate)) +
geom_qq() +
geom_qq_line()
2 Likes
Hi Lucy, as andresrcs suggested in another thread, it's really helpful for you to ask these questions as a (reprex FAQ: What's a reproducible example (`reprex`) and how do I do one?).
This makes it much easier for people to take your issue and set-up and reply with a solution (improving the chances of getting quality help), and makes this thread much more useful to people in the future.
1 Like
Just for completeness, with base R:
qqnorm(data[["Respiratory.Rate"]])
qqline(data[["Respiratory.Rate"]])
1 Like
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