sasLM (version 0.10.5)

LSM: Least Square Means

Description

Estimates least square means using g2 inverse.

Usage

LSM(Formula, Data, Term, conf.level=0.95, adj="lsd", hideNonEst=TRUE, 
      PLOT=FALSE, descend=FALSE, ...)

Value

Returns a table of expectations, t values and p-values.

Group

group character. This appears with one-way ANOVA or Term or adj argument is provided.

LSmean

point estimate of least square mean

LowerCL

lower confidence limit with the given confidence level by "lsd" method

UpperCL

upper confidence limit with the given confidence level by "lsd" method

SE

standard error of the point estimate

Df

degree of freedom of point estimate

Arguments

Formula

a conventional formula of model

Data

data.frame

Term

term name to be returned. If there is only one independent variable, this can be omitted.

conf.level

confidence level for the confidence limit

adj

adjustment method for grouping, "lsd"(default), "tukey", "bon", "duncan", "scheffe" are available. This does not affects SE, Lower CL, Upper CL of the output table.

hideNonEst

logical. hide non-estimables

PLOT

logical. whether to plot LSMs and their confidence intervals

descend

logical. This specifies the plotting order be ascending or descending.

...

arguments to be passed to plot

Author

Kyun-Seop Bae [e-mail]

Details

It corresponds to SAS PROC GLM LSMEANS. The result of the second example below may be different from emmeans. This is because SAS or this function calculates mean of the transformed continuous variable. However, emmeans calculates the average before the transformation. Interaction of three variables is not supported yet. For adjust method "dunnett", see PDIFF function.

See Also

PDIFF, Diffogram

Examples

  LSM(uptake ~ Type, CO2[-1,])
  LSM(uptake ~ Type - 1, CO2[-1,])
  LSM(uptake ~ Type*Treatment + conc, CO2[-1,])
  LSM(uptake ~ Type*Treatment + conc - 1, CO2[-1,])
  LSM(log(uptake) ~ Type*Treatment + log(conc), CO2[-1,])
  LSM(log(uptake) ~ Type*Treatment + log(conc) - 1, CO2[-1,])
  LSM(log(uptake) ~ Type*Treatment + as.factor(conc), CO2[-1,])
  LSM(log(uptake) ~ Type*Treatment + as.factor(conc) - 1, CO2[-1,])
  LSM(log(CMAX) ~ SEQ/SUBJ + PRD + TRT, BEdata)
  LSM(log(CMAX) ~ SEQ/SUBJ + PRD + TRT - 1, BEdata)