Man pages for reyesem/IntroAnalysis
Functions for introductory statistics using linear models
| acadsleep | Sleep and Academic Success Dataset |
| bootstrap_case | Perform nonparametric bootstrap for generalized linear model. |
| bootstrap_case_predict | Perform nonparametric bootstrap for predictions of... |
| bootstrap_compute_ci | Compute confidence intervals from a bootstrap sample. |
| bootstrap_compute_p | Compute p-value from a bootstrap sample of test statistics. |
| bootstrap_parametric | Perform parametric bootstrap for generalized linear model. |
| bootstrap_parametric_linear | Perform parametric bootstrap for linear models without... |
| bootstrap_parametric_linear_null | Compare nested linear models via parametric bootstrap. |
| bootstrap_parametric_null | Compare nested generalized linear models via parametric... |
| bootstrap_parametric_predict | Perform parametric bootstrap for predictions of generalized... |
| bootstrap_residual | Perform (optionally wild) residual bootstrap for linear... |
| bootstrap_residual_null | Compare nested linear models via (optionally wild) residual... |
| cellphones | Cellphone Addiction |
| compare_models | Compute a p-value comparing two nested models. |
| consent | Sexual Consent Dataset |
| drinking | Drinking and Sweets Dataset |
| estimate_mean_response | Estimate the mean response for a given set of covariates. |
| estimate_parameters | Estimate the parameters of linear or generalized linear... |
| exercise | Student Exercise Dataset |
| gratitude | Gratitude and Mental Health Dataset |
| IntroAnalysis-package | Functions for aiding model development in introductory... |
| ma223_word_format | Custom Word template. |
| ma382_word_format | Custom Word template. |
| meditation | Meditation Dataset |
| n | Compute sample size. |
| nmiss | Compute number of missing values. |
| notes | Laptop vs. Longhand Note-taking |
| obtain_diagnostics | Obtain residuals and fitted values for diagnostics. |
| perc01 | Compute specific percentiles of a numeric variable. |
| percent | Compute percent for a binary variable. |
| plot_null_distribution | Plot the null distribution of a test statistic. |
| plot_sampling_distribution | Plot the sampling distribution of a statistic. |
| rmammen | Distributions suggested by Mammen for Wild Bootstrap. |
| rolemodel | Role Models for Women in STEM |
| specify_mean_model | Specify the mean model for the data generating process. |
| summarize_model_fit | Produce metrics for the quality of the model fit. |
| summarize_relationship | Compute statistics summarizing a relationship between... |
| summarize_variable | Compute summary statistics for a variable. |
