MetidaStats.jl

Metida descriptive statistics.

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Install

import Pkg; Pkg.add(url = "https://github.com/PharmCat/MetidaStats.jl.git")

Import DataFrame

data = CSV.File("somedata.csv") |> DataFrame

# variables to analyze
vars = [:Cmax, :AUClast]

# sorting variables 
sort = [:form, :period]

ds = dataimport(data; vars = vars, sort = sort)

Get descriptive statistics

descriptives(ds, stats = [:n, :mean, :var])

Or without dataimport step

descriptives(data; vars = vars, sort = sort, stats = [:n, :mean, :var])

Keywords:

• skipmissing - drop NaN and Missing values, default = true;
• skipnonpositive - drop non-positive values (and NaN, Missing) for "log-statistics" - :geom, :geomean, :logmean, :logvar, :geocv;
• stats - default set stats = [:n, :mean, :sd, :se, :median, :min, :max];
• corrected - use corrected var (true);
• level - level for confidence intervals (0.95);

Possible values for stats is:

• :n - number of observbations;
• :posn - positive (non-negative) number of observations;
• :mean - arithmetic mean;
• :var - variance;
• :bvar - variance with no correction;
• :geom - geometric mean;
• :logmean - arithmetic mean for log-transformed data;
• :logvar - variance for log-transformed data;
• :sd - standard deviation (or σ);
• :se - standard error;
• :cv - coefficient of variation;
• :geocv - coefficient of variation for log-transformed data;
• :lci - lower confidence interval;
• :uci - upper confidence interval;
• :lmeanci - lower confidence interval for mean;
• :umeanci - lower confidence interval for mean;
• :median - median;
• :min - minimum;
• :max - maximum;
• :range - range;
• :q1 - lower quartile;
• :q3 - upper quartile;
• :iqr - inter quartile range;
• :kurt - kurtosis;
• :skew - skewness;
• :harmmean - harmonic mean;
• :ses standard error of skewness;
• :sek - standard error of kurtosis;
• :sum - sum.