Hello everyone,

I am trying to plot something like this (attached below), but I am not able to find how to plot this particular way. How would you plot something like this? Thanks in advance.

Hello everyone,

I am trying to plot something like this (attached below), but I am not able to find how to plot this particular way. How would you plot something like this? Thanks in advance.

1 Like

I’ve used Coefplot: it’s a Stata program to plot statistics & confidence intervals.

I’m not aware of this kind of package in Julia.

First we need more uniformity in the statistics/econometrics package APIs.

Suppose someone writes `Coefplot.jl`

: it should plot estimates & conf intervals from `GLM.jl`

, FixedEffects.jl, `QuantileRegressions.jl`

etc

Currently, there is not enough coordination/cooperation.

Eg: if I wanna run a quantile regression w/ fixed effects, the two existing packages don’t work together…

Other parts of the Julia ecosystem are very modular & cohesive.

I prefer a horizontal arrangement with more information (a thicker line for the IQR, a dot for the median) — here is some code using PGFPlotsX, with five quantiles. Should be easy to customize.

```
using PGFPlotsX
function horiz_q5(x5, y; color = "black")
plots = @pgf [Plot({ thin, color = color }, Table(x5[[1,5]], [y, y])),
Plot({ very_thick, color = color }, Table(x5[[2,4]], [y, y])),
Plot({ black, only_marks, color = color }, Table(x5[3:3], [y]))]
end
function horiz_q5_plots(name_q5_pairs; color = "blue")
@pgf axis = Axis({ xmajorgrids, ytick = .-collect(axes(name_q5_pairs, 1)),
yticklabels = first.(name_q5_pairs) })
for (i, (name, q5)) in enumerate(name_q5_pairs)
append!(axis, horiz_q5(q5, -i; color = color))
end
axis
end
horiz_q5_plots(["Fuel consumption (l/100km)" => range(5, 7; length = 5),
"Length (m)" => range(4.2, 5; length = 5),
"Turn circle (m)" => range(7, 12; length = 5)])
```

3 Likes

Here’s a pretty trivial example to get you started. This is definitely feasible.

```
julia> function coefplot(m)
n = coefnames(m)[2:end] # no intercept
vals = coef(m)[2:end]
errors = stderr(m)[2:end]
scatter(
n,
vals,
legend = false,
yerror = 1.96 .* errors,
title = "Coefficient plot"
)
end
julia> df = DataFrame(y = rand(100), x1 = rand(100), x2 = rand(100));
julia> m = lm(@formula(y ~ x1 + x2), df);
julia> coefplot(m)
```

3 Likes

Wow this is perfect. Thank you so much. And thank you to everyone else for your helpful replies.

Edit: cant believe there was an option under yerror. I guess I didnt search for the right terms.