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sasLM (version 0.9.12)

'SAS' Linear Model

Description

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, 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

1,456

Version

0.9.12

License

GPL-3

Maintainer

Kyun-Seop Bae

Last Published

September 7th, 2023

Functions in sasLM (0.9.12)

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

Estimate Linear Function

F Test with Slice

Pairwise Difference

Regression of Linear Least Square, similar to SAS PROC REG

Odds Ratio of two groups with strata by inverse variance method

Score Confidence Interval for a Proportion or a Binomial Distribution

Standard Error of the Sample Mean

Median without NA

Risk Difference between two groups with strata by inverse variance method

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

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

Relative Risk of two groups with strata by inverse variance method

Risk Difference between two groups

Relative Risk of the two groups

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

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

Type III Expected Mean Square Formula

Standard Error of Skewness

Test Type III SS using error term other than MSE

Convert some columns of a data.frame to factors

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

Partial Correlation test of multiple columns

Number of observations

Independent two groups t-test comparable to PROC TTEST

Test with Random Effects

Upper Confidence Limit

ANOVA with Type I SS

Linear Regression with g2 inverse

Table Summary 2 independent(x) variables

ANOVA with Type II SS

Odds Ratio of two groups

Estimability Check

Satterthwaite Approximation of Variance and Degree of Freedom

Beautify the output of knitr::kable

Table Summary 1 independent(x) variable

Odds Ratio of two groups with strata by CMH method

An example data for meta-analysis - aspirin in coronary heart disease

ANOVA with Type III SS

White's Model Specification Test

Geometric Coefficient of Variation in percentage

'SAS' Linear Model

Get a Contrast Matrix for Type III SS

Get a Contrast Matrix for Type I SS

Test for the difference of two groups' means

Plot Confidence and Prediction Bands for Simple Linear Regression

Univariate Descriptive Statistics

Independent two means test similar to t.test with summarized input

Get a Contrast Matrix for Type II SS

Diagnostic Plot for Regression

Residual Diagnostic Plot for Regression

Inter-Quartile Range

Correlation test by Fisher's Z transformation

Geometric Mean without NA

Regression of Conventional Way with Rich Diagnostics

Sum of Square with a Given Contrast Set

Standard Deviation

Is it a correlation matrix?

Simple Linear Regressions with Each Independent Variable

Estimate Linear Functions

Table Summary 3 independent(x) variables

F-Test for the ratio of two groups' variances

Independent two groups t-test similar to PROC TTEST with summarized input

Table Summary 0 independent(x) variable

Internal Functions

Confidence Interval Estimation

Collinearity Diagnostics

Correlation test of multiple numeric columns

F Test with a Set of Contrasts

Plot Pairwise Differences

Coefficient of Variation in percentage

Analysis BY variable

Expected Mean Square Formula

Mean without NA

Standard Error of Kurtosis

Lower Confidence Limit

Least Square Means

Generalized inverse matrix of type 2, g2 inverse

Example Datasets

An Example Data of Bioequivalence Study

General Linear Model similar to SAS PROC GLM