two-sample-parametric.md
In statsExpressions: Tidy Dataframes and Expressions with Statistical Details

parametric t-test works (between-subjects without NAs)

Code
  select(df1, -expression)
Output
  # A tibble: 1 x 17
    parameter1 parameter2 mean.parameter1 mean.parameter2 statistic df.error
    <chr>      <chr>                <dbl>           <dbl>     <dbl>    <dbl>
  1 len        supp                  20.7            17.0      1.92       58
    p.value method            alternative effectsize estimate conf.level conf.low
      <dbl> <chr>             <chr>       <chr>         <dbl>      <dbl>    <dbl>
  1  0.0604 Two Sample t-test two.sided   Cohen's d     0.495       0.99   -0.184
    conf.high conf.method conf.distribution n.obs
        <dbl> <chr>       <chr>             <int>
  1      1.17 ncp         t                    60

Code
  df1[["expression"]]
Output
  [[1]]
  list(italic("t")["Student"] * "(" * 58 * ")" == "1.91527", italic(p) == 
      "0.06039", widehat(italic("d"))["Cohen"] == "0.49452", CI["99%"] ~ 
      "[" * "-0.18354", "1.16839" * "]", italic("n")["obs"] == 
      "60")

parametric t-test works (between-subjects with NAs)

Code
  select(df1, -expression)
Output
  # A tibble: 1 x 17
    parameter1 parameter2 mean.parameter1 mean.parameter2 statistic df.error
    <chr>      <chr>                <dbl>           <dbl>     <dbl>    <dbl>
  1 len        supp                  20.7            17.0      1.92     55.3
    p.value method                  alternative effectsize estimate conf.level
      <dbl> <chr>                   <chr>       <chr>         <dbl>      <dbl>
  1  0.0606 Welch Two Sample t-test two.sided   Hedges' g     0.488        0.9
    conf.low conf.high conf.method conf.distribution n.obs
       <dbl>     <dbl> <chr>       <chr>             <int>
  1   0.0599     0.911 ncp         t                    60

Code
  df1[["expression"]]
Output
  [[1]]
  list(italic("t")["Welch"] * "(" * 55.309 * ")" == "1.915", italic(p) == 
      "0.061", widehat(italic("g"))["Hedges"] == "0.488", CI["90%"] ~ 
      "[" * "0.060", "0.911" * "]", italic("n")["obs"] == "60")

parametric t-test works (within-subjects without NAs)

Code
  select(df1, -expression)
Output
  # A tibble: 1 x 15
    term  group     statistic df.error  p.value method        alternative
    <chr> <chr>         <dbl>    <dbl>    <dbl> <chr>         <chr>      
  1 value condition      34.8      149 1.85e-73 Paired t-test two.sided  
    effectsize estimate conf.level conf.low conf.high conf.method
    <chr>         <dbl>      <dbl>    <dbl>     <dbl> <chr>      
  1 Hedges' g      2.83        0.5     2.70      2.95 ncp        
    conf.distribution n.obs
    <chr>             <int>
  1 t                   150

Code
  df1[["expression"]]
Output
  [[1]]
  list(italic("t")["Student"] * "(" * 149 * ")" == "34.8152", italic(p) == 
      "1.8496e-73", widehat(italic("g"))["Hedges"] == "2.8283", 
      CI["50%"] ~ "[" * "2.6996", "2.9462" * "]", italic("n")["pairs"] == 
          "150")

parametric t-test works (within-subjects with NAs)

Code
  select(df1, -expression)
Output
  # A tibble: 1 x 15
    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  
    effectsize estimate conf.level conf.low conf.high conf.method
    <chr>         <dbl>      <dbl>    <dbl>     <dbl> <chr>      
  1 Cohen's d     0.381       0.95    0.166     0.594 ncp        
    conf.distribution n.obs
    <chr>             <int>
  1 t                    90

Code
  df1[["expression"]]
Output
  [[1]]
  list(italic("t")["Student"] * "(" * 89 * ")" == "3.613", italic(p) == 
      "5.000e-04", widehat(italic("d"))["Cohen"] == "0.381", CI["95%"] ~ 
      "[" * "0.166", "0.594" * "]", italic("n")["pairs"] == "90")