A generic function for pretty printing in (semi) APA Style
Source:R/styler.R
APAStyler.SEMSummary.RdA generic function for pretty printing in (semi) APA Style
Arguments
- object
SEMSummaryobject- digits
The number of digits to round results to. Defaults to 2.
- type
A character vector giving what to print. Defaults to ‘cov’, the covariances. Other options are ‘cor’ and ‘both’.
- stars
A logical value whether to include significance values as stars (*** p < .001, ** p < .01, * p < .05).
- file
An optional argument indicating whether the output should be written to a file.
- sep
Character what the separator for the table should be. Defaults to tabs.
A logical argument, whether or not to print results to screen. This is distinct from saving them to a file. Defaults to
TRUEfor back compatibility.- ...
Additional argiuments passed on to
write.table.
Examples
m <- SEMSummary(~., data = mtcars)
APAStyler(m, type = "cor", stars = FALSE, file = FALSE)
#> N M SD 1. 2. 3. 4. 5. 6. 7. 8. 9.
#> 1. mpg 32 20.09 6.03 - -0.85 -0.85 -0.78 0.68 -0.87 0.42 0.66 0.60
#> 2. cyl 32 6.19 1.79 - 0.90 0.83 -0.70 0.78 -0.59 -0.81 -0.52
#> 3. disp 32 230.72 123.94 - 0.79 -0.71 0.89 -0.43 -0.71 -0.59
#> 4. hp 32 146.69 68.56 - -0.45 0.66 -0.71 -0.72 -0.24
#> 5. drat 32 3.60 0.53 - -0.71 0.09 0.44 0.71
#> 6. wt 32 3.22 0.98 - -0.17 -0.55 -0.69
#> 7. qsec 32 17.85 1.79 - 0.74 -0.23
#> 8. vs 32 0.44 0.50 - 0.17
#> 9. am 32 0.41 0.50 -
#> 10. gear 32 3.69 0.74
#> 11. carb 32 2.81 1.62
#> 10. 11.
#> 1. mpg 0.48 -0.55
#> 2. cyl -0.49 0.53
#> 3. disp -0.56 0.39
#> 4. hp -0.13 0.75
#> 5. drat 0.70 -0.09
#> 6. wt -0.58 0.43
#> 7. qsec -0.21 -0.66
#> 8. vs 0.21 -0.57
#> 9. am 0.79 0.06
#> 10. gear - 0.27
#> 11. carb -
#>
#> Percentage of coverage for each pairwise covariance or correlation
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> mpg 1 1 1 1 1 1 1 1 1 1 1
#> cyl 1 1 1 1 1 1 1 1 1 1
#> disp 1 1 1 1 1 1 1 1 1
#> hp 1 1 1 1 1 1 1 1
#> drat 1 1 1 1 1 1 1
#> wt 1 1 1 1 1 1
#> qsec 1 1 1 1 1
#> vs 1 1 1 1
#> am 1 1 1
#> gear 1 1
#> carb 1
APAStyler(m, type = "cov", stars = FALSE, file = FALSE)
#> N M SD 1. 2. 3. 4. 5. 6.
#> 1. mpg 32 20.09 6.03 - -9.17 -633.10 -320.73 2.20 -5.12
#> 2. cyl 32 6.19 1.79 - 199.66 101.93 -0.67 1.37
#> 3. disp 32 230.72 123.94 - 6721.16 -47.06 107.68
#> 4. hp 32 146.69 68.56 - -16.45 44.19
#> 5. drat 32 3.60 0.53 - -0.37
#> 6. wt 32 3.22 0.98 -
#> 7. qsec 32 17.85 1.79
#> 8. vs 32 0.44 0.50
#> 9. am 32 0.41 0.50
#> 10. gear 32 3.69 0.74
#> 11. carb 32 2.81 1.62
#> 7. 8. 9. 10. 11.
#> 1. mpg 4.51 2.02 1.80 2.14 -5.36
#> 2. cyl -1.89 -0.73 -0.47 -0.65 1.52
#> 3. disp -96.05 -44.38 -36.56 -50.80 79.07
#> 4. hp -86.77 -24.99 -8.32 -6.36 83.04
#> 5. drat 0.09 0.12 0.19 0.28 -0.08
#> 6. wt -0.31 -0.27 -0.34 -0.42 0.68
#> 7. qsec - 0.67 -0.20 -0.28 -1.89
#> 8. vs - 0.04 0.08 -0.46
#> 9. am - 0.29 0.05
#> 10. gear - 0.33
#> 11. carb -
#>
#> Percentage of coverage for each pairwise covariance or correlation
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> mpg 1 1 1 1 1 1 1 1 1 1 1
#> cyl 1 1 1 1 1 1 1 1 1 1
#> disp 1 1 1 1 1 1 1 1 1
#> hp 1 1 1 1 1 1 1 1
#> drat 1 1 1 1 1 1 1
#> wt 1 1 1 1 1 1
#> qsec 1 1 1 1 1
#> vs 1 1 1 1
#> am 1 1 1
#> gear 1 1
#> carb 1
APAStyler(m, type = "both", stars = FALSE, file = FALSE)
#> N M SD 1. 2. 3. 4. 5. 6.
#> 1. mpg 32 20.09 6.03 - -9.17 -633.10 -320.73 2.20 -5.12
#> 2. cyl 32 6.19 1.79 -0.85 - 199.66 101.93 -0.67 1.37
#> 3. disp 32 230.72 123.94 -0.85 0.90 - 6721.16 -47.06 107.68
#> 4. hp 32 146.69 68.56 -0.78 0.83 0.79 - -16.45 44.19
#> 5. drat 32 3.60 0.53 0.68 -0.70 -0.71 -0.45 - -0.37
#> 6. wt 32 3.22 0.98 -0.87 0.78 0.89 0.66 -0.71 -
#> 7. qsec 32 17.85 1.79 0.42 -0.59 -0.43 -0.71 0.09 -0.17
#> 8. vs 32 0.44 0.50 0.66 -0.81 -0.71 -0.72 0.44 -0.55
#> 9. am 32 0.41 0.50 0.60 -0.52 -0.59 -0.24 0.71 -0.69
#> 10. gear 32 3.69 0.74 0.48 -0.49 -0.56 -0.13 0.70 -0.58
#> 11. carb 32 2.81 1.62 -0.55 0.53 0.39 0.75 -0.09 0.43
#> 7. 8. 9. 10. 11.
#> 1. mpg 4.51 2.02 1.80 2.14 -5.36
#> 2. cyl -1.89 -0.73 -0.47 -0.65 1.52
#> 3. disp -96.05 -44.38 -36.56 -50.80 79.07
#> 4. hp -86.77 -24.99 -8.32 -6.36 83.04
#> 5. drat 0.09 0.12 0.19 0.28 -0.08
#> 6. wt -0.31 -0.27 -0.34 -0.42 0.68
#> 7. qsec - 0.67 -0.20 -0.28 -1.89
#> 8. vs 0.74 - 0.04 0.08 -0.46
#> 9. am -0.23 0.17 - 0.29 0.05
#> 10. gear -0.21 0.21 0.79 - 0.33
#> 11. carb -0.66 -0.57 0.06 0.27 -
#>
#> Percentage of coverage for each pairwise covariance or correlation
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> mpg 1 1 1 1 1 1 1 1 1 1 1
#> cyl 1 1 1 1 1 1 1 1 1 1
#> disp 1 1 1 1 1 1 1 1 1
#> hp 1 1 1 1 1 1 1 1
#> drat 1 1 1 1 1 1 1
#> wt 1 1 1 1 1 1
#> qsec 1 1 1 1 1
#> vs 1 1 1 1
#> am 1 1 1
#> gear 1 1
#> carb 1
APAStyler(m, type = "cor", stars = TRUE, file = FALSE)
#> N M SD 1. 2. 3. 4. 5. 6.
#> 1. mpg 32 20.09 6.03 - -0.85*** -0.85*** -0.78*** 0.68*** -0.87***
#> 2. cyl 32 6.19 1.79 - 0.90*** 0.83*** -0.70*** 0.78***
#> 3. disp 32 230.72 123.94 - 0.79*** -0.71*** 0.89***
#> 4. hp 32 146.69 68.56 - -0.45** 0.66***
#> 5. drat 32 3.60 0.53 - -0.71***
#> 6. wt 32 3.22 0.98 -
#> 7. qsec 32 17.85 1.79
#> 8. vs 32 0.44 0.50
#> 9. am 32 0.41 0.50
#> 10. gear 32 3.69 0.74
#> 11. carb 32 2.81 1.62
#> 7. 8. 9. 10. 11.
#> 1. mpg 0.42* 0.66*** 0.60*** 0.48** -0.55**
#> 2. cyl -0.59*** -0.81*** -0.52** -0.49** 0.53**
#> 3. disp -0.43* -0.71*** -0.59*** -0.56*** 0.39*
#> 4. hp -0.71*** -0.72*** -0.24 -0.13 0.75***
#> 5. drat 0.09 0.44* 0.71*** 0.70*** -0.09
#> 6. wt -0.17 -0.55*** -0.69*** -0.58*** 0.43*
#> 7. qsec - 0.74*** -0.23 -0.21 -0.66***
#> 8. vs - 0.17 0.21 -0.57***
#> 9. am - 0.79*** 0.06
#> 10. gear - 0.27
#> 11. carb -
#>
#> Percentage of coverage for each pairwise covariance or correlation
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> mpg 1 1 1 1 1 1 1 1 1 1 1
#> cyl 1 1 1 1 1 1 1 1 1 1
#> disp 1 1 1 1 1 1 1 1 1
#> hp 1 1 1 1 1 1 1 1
#> drat 1 1 1 1 1 1 1
#> wt 1 1 1 1 1 1
#> qsec 1 1 1 1 1
#> vs 1 1 1 1
#> am 1 1 1
#> gear 1 1
#> carb 1
APAStyler(m, type = "cov", stars = TRUE, file = FALSE)
#> N M SD 1. 2. 3. 4. 5.
#> 1. mpg 32 20.09 6.03 - -9.17*** -633.10*** -320.73*** 2.20***
#> 2. cyl 32 6.19 1.79 - 199.66*** 101.93*** -0.67***
#> 3. disp 32 230.72 123.94 - 6721.16*** -47.06***
#> 4. hp 32 146.69 68.56 - -16.45**
#> 5. drat 32 3.60 0.53 -
#> 6. wt 32 3.22 0.98
#> 7. qsec 32 17.85 1.79
#> 8. vs 32 0.44 0.50
#> 9. am 32 0.41 0.50
#> 10. gear 32 3.69 0.74
#> 11. carb 32 2.81 1.62
#> 6. 7. 8. 9. 10.
#> 1. mpg -5.12*** 4.51* 2.02*** 1.80*** 2.14**
#> 2. cyl 1.37*** -1.89*** -0.73*** -0.47** -0.65**
#> 3. disp 107.68*** -96.05* -44.38*** -36.56*** -50.80***
#> 4. hp 44.19*** -86.77*** -24.99*** -8.32 -6.36
#> 5. drat -0.37*** 0.09 0.12* 0.19*** 0.28***
#> 6. wt - -0.31 -0.27*** -0.34*** -0.42***
#> 7. qsec - 0.67*** -0.20 -0.28
#> 8. vs - 0.04 0.08
#> 9. am - 0.29***
#> 10. gear -
#> 11. carb
#> 11.
#> 1. mpg -5.36**
#> 2. cyl 1.52**
#> 3. disp 79.07*
#> 4. hp 83.04***
#> 5. drat -0.08
#> 6. wt 0.68*
#> 7. qsec -1.89***
#> 8. vs -0.46***
#> 9. am 0.05
#> 10. gear 0.33
#> 11. carb -
#>
#> Percentage of coverage for each pairwise covariance or correlation
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> mpg 1 1 1 1 1 1 1 1 1 1 1
#> cyl 1 1 1 1 1 1 1 1 1 1
#> disp 1 1 1 1 1 1 1 1 1
#> hp 1 1 1 1 1 1 1 1
#> drat 1 1 1 1 1 1 1
#> wt 1 1 1 1 1 1
#> qsec 1 1 1 1 1
#> vs 1 1 1 1
#> am 1 1 1
#> gear 1 1
#> carb 1
APAStyler(m, type = "both", stars = TRUE, file = FALSE)
#> N M SD 1. 2. 3. 4.
#> 1. mpg 32 20.09 6.03 - -9.17*** -633.10*** -320.73***
#> 2. cyl 32 6.19 1.79 -0.85*** - 199.66*** 101.93***
#> 3. disp 32 230.72 123.94 -0.85*** 0.90*** - 6721.16***
#> 4. hp 32 146.69 68.56 -0.78*** 0.83*** 0.79*** -
#> 5. drat 32 3.60 0.53 0.68*** -0.70*** -0.71*** -0.45**
#> 6. wt 32 3.22 0.98 -0.87*** 0.78*** 0.89*** 0.66***
#> 7. qsec 32 17.85 1.79 0.42* -0.59*** -0.43* -0.71***
#> 8. vs 32 0.44 0.50 0.66*** -0.81*** -0.71*** -0.72***
#> 9. am 32 0.41 0.50 0.60*** -0.52** -0.59*** -0.24
#> 10. gear 32 3.69 0.74 0.48** -0.49** -0.56*** -0.13
#> 11. carb 32 2.81 1.62 -0.55** 0.53** 0.39* 0.75***
#> 5. 6. 7. 8. 9.
#> 1. mpg 2.20*** -5.12*** 4.51* 2.02*** 1.80***
#> 2. cyl -0.67*** 1.37*** -1.89*** -0.73*** -0.47**
#> 3. disp -47.06*** 107.68*** -96.05* -44.38*** -36.56***
#> 4. hp -16.45** 44.19*** -86.77*** -24.99*** -8.32
#> 5. drat - -0.37*** 0.09 0.12* 0.19***
#> 6. wt -0.71*** - -0.31 -0.27*** -0.34***
#> 7. qsec 0.09 -0.17 - 0.67*** -0.20
#> 8. vs 0.44* -0.55*** 0.74*** - 0.04
#> 9. am 0.71*** -0.69*** -0.23 0.17 -
#> 10. gear 0.70*** -0.58*** -0.21 0.21 0.79***
#> 11. carb -0.09 0.43* -0.66*** -0.57*** 0.06
#> 10. 11.
#> 1. mpg 2.14** -5.36**
#> 2. cyl -0.65** 1.52**
#> 3. disp -50.80*** 79.07*
#> 4. hp -6.36 83.04***
#> 5. drat 0.28*** -0.08
#> 6. wt -0.42*** 0.68*
#> 7. qsec -0.28 -1.89***
#> 8. vs 0.08 -0.46***
#> 9. am 0.29*** 0.05
#> 10. gear - 0.33
#> 11. carb 0.27 -
#>
#> Percentage of coverage for each pairwise covariance or correlation
#>
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> mpg 1 1 1 1 1 1 1 1 1 1 1
#> cyl 1 1 1 1 1 1 1 1 1 1
#> disp 1 1 1 1 1 1 1 1 1
#> hp 1 1 1 1 1 1 1 1
#> drat 1 1 1 1 1 1 1
#> wt 1 1 1 1 1 1
#> qsec 1 1 1 1 1
#> vs 1 1 1 1
#> am 1 1 1
#> gear 1 1
#> carb 1