apaTables (version 2.0.8)

apa.reg.table: Creates a regresion table in APA style

Description

Creates a regresion table in APA style

Usage

apa.reg.table(
  ...,
  filename = NA,
  table.number = NA,
  prop.var.conf.level = 0.95
)

Arguments

...

Regression (i.e., lm) result objects. Typically, one for each block in the regression.

filename

(optional) Output filename document filename (must end in .rtf or .doc only)

table.number

Integer to use in table number output line

prop.var.conf.level

Level of confidence (.90 or .95, default .95) for interval around sr2, R2, and Delta R2. Use of .90 confidence level helps to create consistency between the CI overlapping with zero and conclusions based on the p-value for that block (or block difference).

Value

APA table object

References

sr2 and delta R2 confidence intervals calculated via:

Alf Jr, E. F., & Graf, R. G. (1999). Asymptotic confidence limits for the difference between two squared multiple correlations: A simplified approach. Psychological Methods, 4(1), 70.

Note that Algina, Keselman, & Penfield (2008) found this approach can under some circumstances lead to inaccurate CIs on proportion of variance values. You might consider using the Algina, Keselman, & Penfield (2008) approach via the apa.reg.boot.table function

Examples

# NOT RUN {
# View top few rows of goggles data set
# from Discovering Statistics Using R
head(album)

# Single block example
blk1 <- lm(sales ~ adverts + airplay, data=album)
apa.reg.table(blk1)
apa.reg.table(blk1,filename="exRegTable.doc")

# Two block example, more than two blocks can be used
blk1 <- lm(sales ~ adverts, data=album)
blk2 <- lm(sales ~ adverts + airplay + attract, data=album)
apa.reg.table(blk1,blk2,filename="exRegBlocksTable.doc")

# Interaction product-term test with blocks
blk1 <- lm(sales ~ adverts + airplay, data=album)
blk2 <- lm(sales ~ adverts + airplay + I(adverts * airplay), data=album)
apa.reg.table(blk1,blk2,filename="exInteraction1.doc")

# Interaction product-term test with blocks and additional product terms
blk1<-lm(sales ~ adverts + airplay, data=album)
blk2<-lm(sales ~ adverts + airplay + I(adverts*adverts) + I(airplay*airplay), data=album)
blk3<-lm(sales~adverts+airplay+I(adverts*adverts)+I(airplay*airplay)+I(adverts*airplay),data=album)
apa.reg.table(blk1,blk2,blk3,filename="exInteraction2.doc")

#Interaction product-term test with single regression (i.e., semi-partial correlation focus)
blk1 <- lm(sales ~ adverts + airplay + I(adverts * airplay), data=album)
apa.reg.table(blk1,filename="exInteraction3.doc")
# }