Agent Skills by mrl2013
Showing 36 vetted skills indexed across 1 GitHub repositories.
mrl2013proc-freq-categorical-analysis
Compute measures of association for categorical exposure-outcome data using SAS PROC FREQ.
mrl2013sas-merging-concatenating
Automate merging and concatenating SAS files for data integration.
mrl2013sas-proc-rank
Automate ordinal ranking of continuous variables into quartiles, quintiles, or deciles using SAS PROC RANK.
mrl2013log-binomial-log-poisson-regression
Estimate risk and prevalence ratios using log-binomial and log-Poisson regression.
mrl2013dummy-variables-categorical-regression
Convert categorical variables into dummy variables for linear regression models.
mrl2013ordinal-multinomial-logistic-regression
Analyzes ordered or unordered categorical outcomes using proportional odds or multinomial logistic regression in SAS or R.
mrl2013sas-proc-import
Automate importing CSV, TSV, Excel, and XPT files into SAS datasets.
mrl2013document-reading
Extract text from PDF, Word, Excel, CSV, and plain text documents.
mrl2013sas-if-then-else-variable-creation
Create SAS variables with IF/THEN/ELSE conditional logic.
mrl2013proc-means-proc-univariate-continuous
Generate summary statistics and distribution analysis for continuous variables in SAS.
mrl2013python-coding-best-practices
Guide Python 3.10+ code development with type hints, dataclasses, pathlib, and error handling.
mrl2013r-coding-best-practices
Apply modern R coding standards with tidyverse and profiling practices.
mrl2013building-causal-dags-confounding-control
Construct directed acyclic graphs to adjust confounders in regression models.
mrl2013sas-studio-orientation
Guide beginners through SAS Studio On Demand's three-window layout and program structure.
mrl2013sas-formats-labels
Manage SAS variable labels and formats with PROC FORMAT.
mrl2013sas-date-formats
Process and display SAS date variables with specified formats.
mrl2013sas-character-numeric-conversion
Convert character-numeric variables in SAS datafiles using built-in functions.
mrl2013prediction-vs-causal-regression-models
Guide selection between prediction and causal regression models based on analysis goals.
mrl2013sas-data-step-basics
Teaches SAS DATA step syntax for copying, variable creation, and restricting rows/columns.
mrl2013causal-model-building-regression
Develop causal regression models adjusting for confounding variables.
mrl2013logistic-regression-multivariable
Adjusts logistic regression models for confounding factors and interprets odds ratios.
mrl2013proc-reg-vs-proc-glm-sas
Compare PROC REG and PROC GLM for SAS linear regression with categorical predictors.
mrl2013r-ggplot2-visualization
Generate scatterplots, bar charts, boxplots, and histograms in R using ggplot2.
mrl2013effect-measure-modification
Analyze interaction effects in regression models to detect modification by a third variable.