Rel 2.0.2

Author: goedman

Project.toml

@@ -1,7 +1,7 @@
 name = "DynamicHMCModels"
 uuid = "6266e5bf-9887-5dfa-a522-2c46ecdcf14a"
 authors = ["Rob J Goedman <goedman@icloud.com"]
-version = "2.0.1"
+version = "2.0.2"
 
 [deps]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

scripts/04/m4.1d.jl

@@ -9,7 +9,7 @@ cd(ProjDir)
 
 # Import the dataset.
 
-data = DataFrame(CSV.read(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
+data = (CSV.File(joinpath("..", "..", "data", "Howell1.csv"),DataFrame; delim=';'));
 
 # Use only adults and standardize
 

scripts/04/m4.1d_mcmcchains.jl

@@ -9,7 +9,7 @@ cd(ProjDir)
 
 # Import the dataset.
 
-data = DataFrame(CSV.read(rel_path("..", "data", "Howell1.csv"), delim=';'));
+data = DataFrame!(CSV.File(rel_path("..", "data", "Howell1.csv"), delim=';'));
 
 # Use only adults and standardize
 

scripts/04/m4.2d.jl

@@ -7,7 +7,7 @@ cd(ProjDir)
 
 # Import the dataset.
 
-data = DataFrame(CSV.read(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
+data = DataFrame!(CSV.File(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
 
 # Use only adults and standardize
 

scripts/04/m4.5d.jl

@@ -7,7 +7,7 @@ cd(ProjDir)
 
 # Import the dataset.
 
-data = DataFrame(CSV.read(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
+data = DataFrame!(CSV.File(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
 
 # Use only adults and standardize
 

scripts/04/m4.5d1.jl

@@ -7,7 +7,7 @@ cd(ProjDir)
 
 # Import the dataset.
 
-data = DataFrame(CSV.read(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
+data = DataFrame!(CSV.File(joinpath("..", "..", "data", "Howell1.csv"), delim=';'));
 
 # Use only adults and standardize
 

scripts/05/m5.1d.jl

@@ -9,7 +9,7 @@ cd(ProjDir)
 
 # ### snippet 5.1
 
-df = DataFrame(CSV.read(joinpath("..", "..", "data", "WaffleDivorce.csv"), delim=';'))
+df = DataFrame!(CSV.File(joinpath("..", "..", "data", "WaffleDivorce.csv"), delim=';'))
 mean_ma = mean(df[:, :MedianAgeMarriage])
 df[!, :MedianAgeMarriage_s] = convert(Vector{Float64},
   (df[:, :MedianAgeMarriage]) .- mean_ma)/std(df[:, :MedianAgeMarriage]);

scripts/05/m5.3d.jl

@@ -9,7 +9,7 @@ cd(ProjDir)
 
 # ### snippet 5.4
 
-df = DataFrame(CSV.read(joinpath("..", "..", "data", "WaffleDivorce.csv"), delim=';'))
+df = DataFrame!(CSV.File(joinpath("..", "..", "data", "WaffleDivorce.csv"), delim=';'))
 
 mean_ma = mean(df[:, :Marriage])
 df[!, :Marriage_s] = convert(Vector{Float64},

scripts/05/m5.6d.jl

@@ -9,7 +9,7 @@ cd(ProjDir)
 
 # Read the milk data
 
-df = DataFrame(CSV.read(joinpath("..", "..", "data", "milk.csv"), delim=';'))
+df = DataFrame!(CSV.File(joinpath("..", "..", "data", "milk.csv"), delim=';'))
 df = filter(row -> !(row[:neocortex_perc] == "NA"), df)
 #df[:, :kcal_per_g] = convert(Vector{Float64}, df[:, :kcal_per_g])
 df[!, :log_mass] = log.(convert(Vector{Float64}, df[:, :mass]))

scripts/08/m8.1d.jl

@@ -7,10 +7,11 @@ cd(ProjDir)
 
 # Read in data
 
-df = DataFrame(CSV.read(joinpath("..", "..", "data", "rugged.csv"), delim=';'))
+delim = ';'
+df = CSV.read(joinpath("..", "..", "data", "rugged.csv"), DataFrame; delim)
 df = filter(row -> !(ismissing(row[:rgdppc_2000])), df)
-df[!, :log_gdp] = log.(df[:, :rgdppc_2000])
-df[!, :cont_africa] = Array{Float64}(convert(Array{Int}, df[:, :cont_africa]))
+df.log_gdp = log.(df.rgdppc_2000)
+df.cont_africa = Array{Float64}(convert(Array{Int}, df.cont_africa))
 
 Base.@kwdef mutable struct RuggedModel{Ty <: AbstractVector,
   Tx <: AbstractMatrix}