Creates a table of means and standard deviations for a 2-way ANOVA design in APA style

Creates a table of means and standard deviations for a 2-way ANOVA design in APA style

apa.2way.table(iv1, iv2, dv, data, filename = NA, table.number = NA,
  show.conf.interval = FALSE, show.marginal.means = FALSE,
  landscape = TRUE)

Arguments

iv1	Name of independent variable 1 column in data frame
iv2	Name of independent variable 2 column in data frame
dv	Name of dependent variable column in data frame
data	Project data frame name
filename	(optional) Output filename document filename (must end in .rtf or .doc only)
table.number	Integer to use in table number output line
show.conf.interval	(TRUE/FALSE) Display confidence intervals in table. Negates show.marginal.means = TRUE.
show.marginal.means	(TRUE/FALSE) Show marginal means in output. Only used if show.conf.interval = FALSE.
landscape	(TRUE/FALSE) Make RTF file landscape

Value

APA table object

Examples

# Example 2: 2-way from Fidler & Thompson (2001)
apa.2way.table(iv1=a,iv2=b,dv=dv,data=fidler_thompson,landscape=TRUE, filename="ex2_desc_table.doc")
#> 
#> 
#> Means and standard deviations for dv as a function of a 2(a) X 4(b) design 
#> 
#>        b                                   
#>        1         2         3         4     
#>   a    M   SD    M   SD    M   SD    M   SD
#>   1 1.00 1.00 2.00 1.00 3.00 1.00 3.00 1.00
#>   2 2.00 1.00 3.00 1.00 2.00 1.00 4.00 1.00
#> 
#> Note. M and SD represent mean and standard deviation, respectively. 
#> 

# Example 3: 2-way from Field et al. (2012) Discovery Statistics Using R
apa.2way.table(iv1=gender,iv2=alcohol,dv=attractiveness,data=goggles,filename="ex3_desc_table.doc")
#> 
#> 
#> Means and standard deviations for attractiveness as a function of a 2(gender) X 3(alcohol) design 
#> 
#>         alcohol                                  
#>            None       2 Pints       4 Pints      
#>  gender       M    SD       M    SD       M    SD
#>  Female   60.62  4.96   62.50  6.55   57.50  7.07
#>    Male   66.88 10.33   66.88 12.52   35.62 10.84
#> 
#> Note. M and SD represent mean and standard deviation, respectively. 
#>