supernova.md
In supernova: Judd, McClelland, & Ryan Formatting for ANOVA Output

message is given for number of rows deleted due to missing cases

Code
  supernova(lm(mpg ~ hp, df_missing))
Message <supernova_missing_values_message>
  Refitting to remove 1 case with missing value(s)
  i lm(formula = mpg ~ hp, data = listwise_delete(df_missing, c("mpg", "hp")))
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ hp

                                 SS df      MS      F   PRE     p
   ----- --------------- | -------- -- ------- ------ ----- -----
   Model (error reduced) |  680.166  1 680.166 44.323 .6045 .0000
   Error (from model)    |  445.027 29  15.346                   
   ----- --------------- | -------- -- ------- ------ ----- -----
   Total (empty model)   | 1125.194 30  37.506

Code
  supernova(lm(mpg ~ disp, df_missing))
Message <supernova_missing_values_message>
  Refitting to remove 2 cases with missing value(s)
  i lm(formula = mpg ~ disp, data = listwise_delete(df_missing, c("mpg", "disp")))
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ disp

                                 SS df      MS      F   PRE     p
   ----- --------------- | -------- -- ------- ------ ----- -----
   Model (error reduced) |  810.915  1 810.915 74.074 .7257 .0000
   Error (from model)    |  306.528 28  10.947                   
   ----- --------------- | -------- -- ------- ------ ----- -----
   Total (empty model)   | 1117.443 29  38.533

Code
  supernova(lm(mpg ~ hp * disp, df_missing))
Message <supernova_missing_values_message>
  Refitting to remove 3 cases with missing value(s)
  i lm(formula = mpg ~ hp * disp, data = listwise_delete(df_missing, c("mpg", "hp", "disp")))
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ hp * disp

                                   SS df      MS      F   PRE     p
   ------- --------------- | -------- -- ------- ------ ----- -----
     Model (error reduced) |  926.049  3 308.683 40.553 .8295 .0000
        hp                 |  109.549  1 109.549 14.392 .3654 .0008
      disp                 |  186.831  1 186.831 24.545 .4954 .0000
   hp:disp                 |   75.967  1  75.967  9.980 .2853 .0041
     Error (from model)    |  190.297 25   7.612                   
   ------- --------------- | -------- -- ------- ------ ----- -----
     Total (empty model)   | 1116.346 28  39.869

null model tables are beautifully formatted

Code
  supernova(model)
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ NULL

                                 SS  df     MS   F PRE   p
   ----- --------------- | -------- --- ------ --- --- ---
   Model (error reduced) |      --- ---    --- --- --- ---
   Error (from model)    |      --- ---    --- --- --- ---
   ----- --------------- | -------- --- ------ --- --- ---
   Total (empty model)   | 1126.047  31 36.324

single predictor tables are beautifully formatted

Code
  supernova(model)
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ hp

                                 SS df      MS      F   PRE     p
   ----- --------------- | -------- -- ------- ------ ----- -----
   Model (error reduced) |  678.373  1 678.373 45.460 .6024 .0000
   Error (from model)    |  447.674 30  14.922                   
   ----- --------------- | -------- -- ------- ------ ----- -----
   Total (empty model)   | 1126.047 31  36.324

multiple predictor tables are beautifully formatted

Code
  supernova(model)
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ hp + disp

                                 SS df      MS      F   PRE     p
   ----- --------------- | -------- -- ------- ------ ----- -----
   Model (error reduced) |  842.554  2 421.277 43.095 .7482 .0000
      hp                 |   33.665  1  33.665  3.444 .1061 .0737
    disp                 |  164.181  1 164.181 16.795 .3667 .0003
   Error (from model)    |  283.493 29   9.776                   
   ----- --------------- | -------- -- ------- ------ ----- -----
   Total (empty model)   | 1126.047 31  36.324

non-verbose tables do not have a description column

Code
  supernova(model)
Output
   Analysis of Variance Table (Type III SS)
   Model: mpg ~ NULL

                                 SS  df     MS   F PRE   p
   ----- --------------- | -------- --- ------ --- --- ---
   Model (error reduced) |      --- ---    --- --- --- ---
   Error (from model)    |      --- ---    --- --- --- ---
   ----- --------------- | -------- --- ------ --- --- ---
   Total (empty model)   | 1126.047  31 36.324

perfectly fit models print 1.000 for PRE and p

Code
  supernova(model)
Output
   Analysis of Variance Table (Type III SS)
   Model: c(1:10) ~ c(11:20)

                               SS df     MS            F    PRE     p
   ----- --------------- | ------  - ------ ------------ ------ -----
   Model (error reduced) | 82.500  1 82.500 1.202968e+32 1.0000 .0000
   Error (from model)    |  0.000  8  0.000                          
   ----- --------------- | ------  - ------ ------------ ------ -----
   Total (empty model)   | 82.500  9  9.167