one_two_sample_dataframes.md
In statsExpressions: Tidy Dataframes and Expressions with Statistical Details

parametric t-tests

Code
  df_1
Output
  # A tibble: 4 x 15
       mu statistic df.error p.value method            alternative effectsize
    <dbl>     <dbl>    <dbl>   <dbl> <chr>             <chr>       <chr>     
  1  0.25     0.242       55   0.810 One Sample t-test two.sided   Cohen's d 
  2  0.25     0.242       55   0.595 One Sample t-test less        Hedges' g 
  3  0.25     0.242       55   0.405 One Sample t-test greater     Cohen's d 
  4  0.25     0.242       55   0.810 One Sample t-test two.sided   Hedges' g 
    estimate conf.level conf.low conf.high conf.method conf.distribution n.obs
       <dbl>      <dbl>    <dbl>     <dbl> <chr>       <chr>             <int>
  1   0.0323       0.89  -0.181      0.246 ncp         t                    56
  2   0.0319       0.99  -0.308      0.371 ncp         t                    56
  3   0.0323       0.9   -0.188      0.252 ncp         t                    56
  4   0.0319       0.5   -0.0572     0.121 ncp         t                    56
    expression
    <list>    
  1 <language>
  2 <language>
  3 <language>
  4 <language>

Code
  df_2_between
Output
  # A tibble: 4 x 18
    parameter1 parameter2 mean.parameter1 mean.parameter2 statistic df.error
    <chr>      <chr>                <dbl>           <dbl>     <dbl>    <dbl>
  1 wt         am                    3.77            2.41      5.26     30  
  2 wt         am                    3.77            2.41      5.49     29.2
  3 wt         am                    3.77            2.41      5.26     30  
  4 wt         am                    3.77            2.41      5.49     29.2
       p.value method                  alternative effectsize estimate conf.level
         <dbl> <chr>                   <chr>       <chr>         <dbl>      <dbl>
  1 0.0000113  Two Sample t-test       two.sided   Cohen's d      1.93       0.89
  2 1.00       Welch Two Sample t-test less        Hedges' g      1.88       0.99
  3 0.00000563 Two Sample t-test       greater     Cohen's d      1.93       0.9 
  4 0.00000627 Welch Two Sample t-test two.sided   Hedges' g      1.88       0.5 
    conf.low conf.high conf.method conf.distribution n.obs expression
       <dbl>     <dbl> <chr>       <chr>             <int> <list>    
  1     1.23      2.61 ncp         t                    32 <language>
  2  -Inf         2.86 ncp         t                    32 <language>
  3     1.36    Inf    ncp         t                    32 <language>
  4     1.58      2.15 ncp         t                    32 <language>

Code
  df_2_within
Output
  # A tibble: 4 x 16
    term   group     statistic df.error  p.value method        alternative
    <chr>  <chr>         <dbl>    <dbl>    <dbl> <chr>         <chr>      
  1 desire condition      3.61       89 0.000500 Paired t-test two.sided  
  2 desire condition      3.61       89 0.000500 Paired t-test two.sided  
  3 desire condition      3.61       89 0.000500 Paired t-test two.sided  
  4 desire condition      3.61       89 0.000500 Paired t-test two.sided  
    effectsize estimate conf.level conf.low conf.high conf.method
    <chr>         <dbl>      <dbl>    <dbl>     <dbl> <chr>      
  1 Cohen's d     0.381       0.89   0.205      0.554 ncp        
  2 Hedges' g     0.378       0.99   0.0978     0.656 ncp        
  3 Cohen's d     0.381       0.9    0.200      0.559 ncp        
  4 Hedges' g     0.378       0.5    0.304      0.450 ncp        
    conf.distribution n.obs expression
    <chr>             <int> <list>    
  1 t                    90 <language>
  2 t                    90 <language>
  3 t                    90 <language>
  4 t                    90 <language>

Code
  df_3_between
Output
  # A tibble: 4 x 14
    statistic    df df.error p.value
        <dbl> <dbl>    <dbl>   <dbl>
  1      4.14     3     52    0.0105
  2      2.63     3     11.1  0.102 
  3      4.14     3     52    0.0105
  4      2.63     3     11.1  0.102 
    method                                                   effectsize estimate
    <chr>                                                    <chr>         <dbl>
  1 One-way analysis of means                                Eta2          0.193
  2 One-way analysis of means (not assuming equal variances) Omega2        0.245
  3 One-way analysis of means                                Eta2          0.193
  4 One-way analysis of means (not assuming equal variances) Omega2        0.245
    conf.level conf.low conf.high conf.method conf.distribution n.obs expression
         <dbl>    <dbl>     <dbl> <chr>       <chr>             <int> <list>    
  1       0.89   0.0585         1 ncp         F                    56 <language>
  2       0.8    0              1 ncp         F                    56 <language>
  3       0.9    0.0545         1 ncp         F                    56 <language>
  4       0.5    0.0974         1 ncp         F                    56 <language>

Code
  df_3_within
Output
  # A tibble: 2 x 18
    term      sumsq sum.squares.error    df df.error meansq statistic  p.value
    <chr>     <dbl>             <dbl> <dbl>    <dbl>  <dbl>     <dbl>    <dbl>
  1 condition  233.              984.  2.63     229.   4.30      20.6 8.27e-11
  2 condition  233.              984.  2.63     229.   4.30      20.6 8.27e-11
    method                                              effectsize       estimate
    <chr>                                               <chr>               <dbl>
  1 ANOVA estimation for factorial designs using 'afex' Eta2 (partial)     0.191 
  2 ANOVA estimation for factorial designs using 'afex' Omega2 (partial)   0.0783
    conf.level conf.low conf.high conf.method conf.distribution n.obs expression
         <dbl>    <dbl>     <dbl> <chr>       <chr>             <int> <list>    
  1       0.89   0.136          1 ncp         F                    88 <language>
  2       0.9    0.0362         1 ncp         F                    88 <language>