statisticalModeling: Functions for Teaching Statistical Modeling
Version 0.3.0

Provides graphics and other functions that evaluate and display models across many different kinds of model architecture. For instance, you can evaluate the effect size of a model input in the same way, regardless of architecture, interaction terms, etc.

AuthorDaniel Kaplan
Date of publication2016-11-12 15:47:15
MaintainerDaniel Kaplan <kaplan@macalester.edu>
LicenseMIT + file LICENSE
Version0.3.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("statisticalModeling")

Getting started

README.md
Support for Statistical Modeling

Popular man pages

Crime: Data from the US FBI Uniform Crime Report, 1960
cv_pred_error: Compare models with k-fold cross-validation
effect_size: Calculate effect sizes in a model
gf_functions: gf_ plotting functions
HDD_Minneapolis: Heating degree days in Minneapolis, Minnesota, USA
Runners: Performance of runners in a ten-mile race as they age
Tadpoles: Swimming speed of tadpoles.
See all...

All man pages Function index File listing

Man pages

AARP: Prices for life insurance
Alder: Nitrogen fixing by alder plants
Birth_weight: Birth weights and maternal data
College_grades: Grades at a small college
collinearity: Calculate measures of collinearity
Crime: Data from the US FBI Uniform Crime Report, 1960
cv_pred_error: Compare models with k-fold cross-validation
effect_size: Calculate effect sizes in a model
ensemble: Create bootstrapped ensembles of a model
evaluate_model: Evaluate a model for specified inputs
extract_from_model: Extract component parts of models
fmodel: Plot out model values
gf_functions: gf_ plotting functions
gmodel: Graph the function implicit in a model
HDD_Minneapolis: Heating degree days in Minneapolis, Minnesota, USA
Houses_for_sale: Houses for sale
Mussels: Metabolism of zebra mussels
NCI60_snippet: Gene expression in cancer cells.
Oil_history: Historical production of crude oil, worldwide 1880-2014
reference_values: Compute sensible values from a data set for use as a baseline
Runners: Performance of runners in a ten-mile race as they age
School_data: Simulated data bearing on school vouchers
Tadpoles: Swimming speed of tadpoles.
train: Training statistical models
Trucking_jobs: Earnings of workers at a trucking company.
typical_levels: Find typical levels of explanatory variables in a...
Used_Fords: Prices of used Ford automobiles in 2009

Functions

AARP Man page
Alder Man page
Birth_weight Man page
College_grades Man page
Crime Man page
HDD_Minneapolis Man page
Houses_for_sale Man page
Mussels Man page
NCI60_snippet Man page
Oil_history Man page
Runners Man page
School_data Man page
Tadpoles Man page
Trucking_jobs Man page
Used_Fords Man page
add_NA Source code
add_arg_list_to_function_string Source code
capture_extras Source code
class_helper Source code
collinearity Man page Source code
convert_to_discrete Source code
create_eval_levels Source code
cv_pred_error Man page Source code
data_from_model Man page Source code
density_string Source code
df_to_aesthetics Source code
effect_size Man page Source code
ensemble Man page Source code
evaluate_model Man page Source code
explanatory_vars Man page Source code
explanatory_vars.bootstrap_ensemble Source code
explanatory_vars.gbm Source code
explanatory_vars.glm Source code
facet_string Source code
fmodel Man page Source code
formula_from_mod Source code
formula_from_mod.gbm Source code
formula_from_mod.glm Source code
formula_to_aesthetics Source code
formula_to_df Source code
frame_string Source code
get_range Source code
get_step Source code
gf_abline Man page
gf_bar Man page
gf_boxplot Man page
gf_counts Man page
gf_density Man page
gf_density_2d Man page
gf_factory Source code
gf_frame Man page
gf_freqpoly Man page
gf_generic Source code
gf_hex Man page
gf_histogram Man page
gf_hline Man page
gf_jitter Man page
gf_line Man page
gf_master Source code
gf_path Man page
gf_point Man page
gf_text Man page
gmodel Man page
handle_dots_as_variables Source code
kfold_trial Source code
layer_string Source code
legend_position_string Source code
likelihood_helper Source code
log_axes_string Source code
map_string Source code
model_string Source code
mse_helper Source code
pairs_in_formula Source code
print.bootstrap_ensemble Source code
reference_values Man page Source code
response_values Source code
response_var Man page Source code
response_var.bootstrap_ensemble Source code
response_var.gbm Source code
response_var.glm Source code
train Man page Source code
typical_levels Man page Source code

Files

inst
inst/ideas_for_tests.R
inst/making_Birth_weight.R
inst/model_list.csv
inst/foobar.R
inst/doc
inst/doc/modeling.Rmd
inst/doc/modeling.R
inst/doc/modeling.html
inst/gghelper.R
inst/ggformula.R
tests
tests/testthat.R
tests/testthat
tests/testthat/test_models.R
tests/testthat/test_evaluate.R
tests/testthat/test_effect_size.R
tests/testthat/test_data_from_model.R
NAMESPACE
NEWS.md
data
data/College_grades.rda
data/Trucking_jobs.rda
data/Used_Fords.rda
data/NCI60_snippet.rda
data/Mussels.rda
data/AARP.rda
data/HDD_Minneapolis.rda
data/Oil_history.rda
data/Tadpoles.rda
data/Runners.rda
data/School_data.rda
data/Houses_for_sale.rda
data/Birth_weight.rda
data/Alder.rda
data/Crime.rda
R
R/School_data.R
R/Crime.R
R/helpers.R
R/gf_function_helpers.R
R/cv.R
R/model_access.R
R/AARP.R
R/gmodel.R
R/Runners.R
R/HDD_Minneapolis.R
R/Birth_weight.R
R/evaluate_model.R
R/train.R
R/Tadpoles.R
R/Trucking_jobs.R
R/ggstrings.R
R/Mussels.R
R/Houses_for_sale.R
R/fmodel.R
R/bootstrap_ensemble.R
R/effect_size.R
R/gf_functions.R
R/College_grades.R
R/Alder.R
R/typical_levels.R
R/collinearity.R
R/Oil_history.R
R/NCI60_snippet.R
R/Used_Fords.R
vignettes
vignettes/modeling.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/College_grades.Rd
man/Houses_for_sale.Rd
man/typical_levels.Rd
man/effect_size.Rd
man/gf_functions.Rd
man/Birth_weight.Rd
man/Mussels.Rd
man/Trucking_jobs.Rd
man/AARP.Rd
man/reference_values.Rd
man/Tadpoles.Rd
man/train.Rd
man/Used_Fords.Rd
man/cv_pred_error.Rd
man/Runners.Rd
man/School_data.Rd
man/extract_from_model.Rd
man/Crime.Rd
man/Alder.Rd
man/Oil_history.Rd
man/HDD_Minneapolis.Rd
man/collinearity.Rd
man/NCI60_snippet.Rd
man/ensemble.Rd
man/fmodel.Rd
man/gmodel.Rd
man/evaluate_model.Rd
LICENSE
statisticalModeling documentation built on May 19, 2017, 10:23 p.m.

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