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sasLM (version 0.9.4)

'SAS' Linear Model

Description

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

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Version

Install

install.packages('sasLM')

Monthly Downloads

730

Version

0.9.4

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

January 7th, 2023

Functions in sasLM (0.9.4)

Generalized inverse matrix of type 2, g2 inverse

Standard Error of Kurtosis

Mean without NA

Lower Confidence Limit

Estimate Linear Function

General Linear Model similar to SAS PROC GLM

Least Square Means

Median without NA

Odds Ratio of two groups with strata by inverse variance method

Number of observations

Odds Ratio of two groups with strata by CMH method

Partial Correlation test of multiple columns

Odds Ratio of two groups

Pairwise Difference

Odds Ratio and Score CI of two groups with strata by MN method

Relative Risk and Score CI of two groups with strata by MN method

Risk Difference between two groups with strata by inverse variance method

Relative Risk of two groups

Odds Ratio and Score CI of two groups without strata by MN method

Risk Difference and Score CI between two groups without strata by MN method

Inter-Quartile Range

Risk Difference between two groups

Risk Difference and Score CI between two groups with strata by MN method

Regression of Linear Least Square, similar to SAS PROC REG

Type III Expected Mean Square Formula

Test Type III SS using error term other than MSE

Relative Risk of two groups with strata by inverse variance method

Relative Risk and Score CI of two groups without strata by MN method

Correlation test by Fisher's Z transformation

Standard Deviation

Sum of Square with a Given Contrast Set

Score CI of a proportion

Upper Confidence Limit

Univariate Descriptive Statistics

Get a Contrast Matrix for Type II SS

Get a Contrast Matrix for Type I SS

Get a Contrast Matrix for Type III SS

ANOVA with Type I SS

ANOVA with Type II SS

Estimate Linear Functions

F Test with Slice

Geometric Mean without NA

Is it a corrleation matrix?

Simple Linear Regressions with Each Independent Variable

Standard Error of the Sample Mean

Linear Regression with g2 inverse

Satterthwaite Approximation of Variance and Degree of Freedom

Table Summary 0 independent(x) variable

Plot Confidence and Prediction Bands for Simple Linear Regression

Table Summary 3 independent(x) variables

'SAS' Linear Model

Regression of Conventional Way with Rich Diagnostics

Standard Error of Skewness

Convert some columns of a data.frame to factors

White's Model Specification Test

Estimability Check

Geometric Coefficient of Variation in percentage

Diagnostic Plot for Regression

Beautify the output of knitr::kable

Residual Diagnostic Plot for Regression

ANOVA with Type III SS

Table Summary 2 independent(x) variables

Table Summary 1 independent(x) variable

Expected Mean Square Formula

Plot Pairwise Differences

Internal Functions

Confidence Interval Estimation

An Example Data of Bioequivalence Study

Analysis BY variable

Collinearity Diagnostics

Correlation test of multiple numeric columns

Coefficient of Variation in percentage

F Test with a Set of Contrasts