From c677962921226087dea296d7b189544f3e91e851 Mon Sep 17 00:00:00 2001
From: ayushpatnaikgit <ayushpatnaik@gmail.com>
Date: Mon, 28 Aug 2023 11:17:45 +1000
Subject: [PATCH] Minor formatting corrections.

---
 src/reg.jl   | 5 ++---
 src/total.jl | 1 -
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/src/reg.jl b/src/reg.jl
index ad80d94..7ba177f 100644
--- a/src/reg.jl
+++ b/src/reg.jl
@@ -1,5 +1,5 @@
 """
-glm(formula::FormulaTerm, design::ReplicateDesign, args...; kwargs...)
+    glm(formula::FormulaTerm, design::ReplicateDesign, args...; kwargs...)
 
 Perform generalized linear modeling (GLM) using the survey design with replicates.
 
@@ -28,9 +28,8 @@ julia> glm(@formula(api00 ~ api99), bsrs, Normal())
 ─────┼──────────────────────
    1 │ 63.2831    9.41231
    2 │  0.949762  0.0135488
-````
+```
 """
-
 function glm(formula::FormulaTerm, design::ReplicateDesign, args...; kwargs...)
 
     rhs_symbols = typeof(formula.rhs) == Term ? Symbol.(formula.rhs) : collect(Symbol.(formula.rhs))
diff --git a/src/total.jl b/src/total.jl
index 2c285fb..ced0e44 100644
--- a/src/total.jl
+++ b/src/total.jl
@@ -36,7 +36,6 @@ Compute the standard error of the estimated total using replicate weights.
 # Examples
 
 ```jldoctest; setup = :(using Survey; apiclus1 = load_data("apiclus1"); dclus1 = SurveyDesign(apiclus1; clusters = :dnum, weights = :pw); bclus1 = dclus1 |> bootweights;)
-
 julia> total(:api00, bclus1)
 1×2 DataFrame
  Row │ total      SE