I am a beginner in R and any tips would be appreciated:

What package and how do i get started with drawing this graph? I have the numbers and data but have no clue how to approach:

Thank you in advance!

I am a beginner in R and any tips would be appreciated:

What package and how do i get started with drawing this graph? I have the numbers and data but have no clue how to approach:

Thank you in advance!

It looks like you want a forest plot. Something like an internet search for `ggplot2 r statistics forest plot`

or just `r statistics forest plot`

should turn up some useful links such as this one ggforestplot or this one Introduction to forestploter

Thanks @jrkrideau !

I actually don't need to do any meta analysis as I have the physical data already - so it will just be simply plotting the numbers like the example diagram - would the ggforestplot work? or ggplot is more appropriate?

Thanks!

Alternatively, here is one way to do it using just `ggplot2`

.

```
library(tidyverse)
# sample data
df = data.frame(
x = c(0.9, .99, 1.07,
.88, .97, 1.04,
.98, 1.08, 1.15),
y = c(rep('group1', 3),
rep('group2', 3),
rep('group3', 3)
)
)
ggplot(df, aes(x = x, y = y)) +
geom_point(size = 3) +
geom_line(aes(group = y), size = 1) +
geom_text(aes(label = x), vjust = -1) +
geom_hline(yintercept = 0.5, size = 1) +
geom_vline(xintercept = 1, size = 1) +
theme_minimal() +
labs(x = '', y = '') +
scale_x_continuous(limits = c(0.5, 1.5),
breaks = c(0.5, 1, 1.5),
labels = c(0, 1, 10),
expand = c(0,0)) +
theme(panel.grid = element_blank())
```

Created on 2023-01-14 with reprex v2.0.2.9000

2 Likes

Thank you! This is actually very helpful!!

I know this may be a simple question - but do you know how to make the groups closer together (vertically closer together)?

As scottyd22 shows it can be done with *ggplot* readily enough. I have not even read up on *ggforestplot* but my guess is that either will do the job. *ggforestplot* probably simplifies the process as it looks to be a ggplot2 wraper but you may be able to tweak things more easily in ggplot2.

In **R** there are usually many different ways to get to the objective.

Assuming you have more than three, plotting more groups will make them closer together. You can also add `coord_fixed()`

and adjust the ratio until you get an acceptable output.

`coord_fixed(ratio = 1/10)`

`coord_fixed(ratio = 1/15)`

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