'SAS' Linear Model

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Documentation for package ‘sasLM’ version 0.10.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

sasLM-package	'SAS' Linear Model
af	Convert some columns of a data.frame to factors
aov1	ANOVA with Type I SS
aov2	ANOVA with Type II SS
aov3	ANOVA with Type III SS
aspirinCHD	An example data for meta-analysis - aspirin in coronary heart disease
BEdata	An Example Data of Bioequivalence Study
bk	Beautify the output of knitr::kable
BY	Analysis BY variable
CIest	Confidence Interval Estimation
Coll	Collinearity Diagnostics
CONTR	F Test with a Set of Contrasts
Cor.test	Correlation test of multiple numeric columns
corFisher	Correlation test by Fisher's Z transformation
cSS	Sum of Square with a Given Contrast Set
CumAlpha	Cumulative Alpha for the Fixed Z-value
CV	Coefficient of Variation in percentage
Diffogram	Plot Pairwise Differences
Drift	Drift defined by Lan and DeMets for Group Sequential Design
e1	Get a Contrast Matrix for Type I SS
e2	Get a Contrast Matrix for Type II SS
e3	Get a Contrast Matrix for Type III SS
EMS	Expected Mean Square Formula
est	Estimate Linear Functions
ESTM	Estimate Linear Function
estmb	Estimability Check
ESTMIMATE	Estimate Linear Function
ExitP	Exit Probability with cumulative Z-test in Group Sequential Design
g2inv	Generalized type 2 inverse matrix, g2 inverse
G2SWEEP	Generalized inverse matrix of type 2 for linear regression
geoCV	Geometric Coefficient of Variation in percentage
geoMean	Geometric Mean without NA
GLM	General Linear Model similar to SAS PROC GLM
is.cor	Is it a correlation matrix?
Kurtosis	Kurtosis
KurtosisSE	Standard Error of Kurtosis
LCL	Lower Confidence Limit
lfit	Linear Fit
lr	Linear Regression with g2 inverse
lr0	Simple Linear Regressions with Each Independent Variable
LSM	Least Square Means
Max	Max without NA
Mean	Mean without NA
Median	Median without NA
Min	Min without NA
ModelMatrix	Model Matrix
mtest	Independent two groups t-test similar to PROC TTEST with summarized input
N	Number of observations
OR	Odds Ratio of two groups
ORcmh	Odds Ratio of two groups with strata by CMH method
ORinv	Odds Ratio of two groups with strata by inverse variance method
ORmn	Odds Ratio and Score CI of two groups with strata by MN method
ORmn1	Odds Ratio and Score CI of two groups without strata by the MN method
pB	Plot Confidence and Prediction Bands for Simple Linear Regression
Pcor.test	Partial Correlation test of multiple columns
pD	Diagnostic Plot for Regression
PDIFF	Pairwise Difference
PocockBound	Pocock (fixed) Bound for the cumulative Z-test with a final target alpha-value
pResD	Residual Diagnostic Plot for Regression
QuartileRange	Inter-Quartile Range
Range	Range
RanTest	Test with Random Effects
RD	Risk Difference between two groups
RDinv	Risk Difference between two groups with strata by inverse variance method
RDmn	Risk Difference and Score CI between two groups with strata by the MN method
RDmn1	Risk Difference and Score CI between two groups without strata by the MN method
REG	Regression of Linear Least Square, similar to SAS PROC REG
regD	Regression of Conventional Way with Rich Diagnostics
RR	Relative Risk of the two groups
RRinv	Relative Risk of two groups with strata by inverse variance method
RRmn	Relative Risk and Score CI of two groups with strata by the MN method
RRmn1	Relative Risk and Score CI of two groups without strata by by MN method
sasLM	'SAS' Linear Model
satt	Satterthwaite Approximation of Variance and Degree of Freedom
ScoreCI	Score Confidence Interval for a Proportion or a Binomial Distribution
SD	Standard Deviation
SEM	Standard Error of the Sample Mean
seqBound	Sequential bounds for cumulative Z-test in Group Sequential Design
seqCI	Confidence interval with the last Z-value for the group sequential design
Skewness	Skewness
SkewnessSE	Standard Error of Skewness
SLICE	F Test with Slice
SS	Sum of Square
T3MS	Type III Expected Mean Square Formula
T3test	Test Type III SS using error term other than MSE
tmtest	Independent two means test similar to t.test with summarized input
trimmedMean	Trimmed Mean
tsum	Table Summary
tsum0	Table Summary 0 independent(x) variable
tsum1	Table Summary 1 independent(x) variable
tsum2	Table Summary 2 independent(x) variables
tsum3	Table Summary 3 independent(x) variables
TTEST	Independent two groups t-test comparable to PROC TTEST
UCL	Upper Confidence Limit
UNIV	Univariate Descriptive Statistics
vtest	F-Test for the ratio of two groups' variances
WhiteTest	White's Model Specification Test
ztest	Test for the difference of two groups' means