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

tidy_model_expressions works - t

Code
  select(df_t, -expression)
Output
  # A tibble: 2 x 10
    term        estimate std.error conf.level conf.low conf.high statistic
    <chr>          <dbl>     <dbl>      <dbl>    <dbl>     <dbl>     <dbl>
  1 (Intercept)    6.05     0.309        0.95    5.42      6.68      19.6 
  2 mpg           -0.141    0.0147       0.95   -0.171    -0.111     -9.56
    df.error  p.value conf.method
       <int>    <dbl> <chr>      
  1       30 1.20e-18 Wald       
  2       30 1.29e-10 Wald

Code
  df_t[["expression"]]
Output
  [[1]]
  list(widehat(italic(beta)) == "6.05", italic(t)("30") == "19.59", 
      italic(p) == "1.20e-18")

  [[2]]
  list(widehat(italic(beta)) == "-0.14", italic(t)("30") == "-9.56", 
      italic(p) == "1.29e-10")

Code
  df_t_na[["expression"]]
Output
  [[1]]
  list(widehat(italic(beta)) == "6.05", italic(t) == "19.59", italic(p) == 
      "1.20e-18")

  [[2]]
  list(widehat(italic(beta)) == "-0.14", italic(t) == "-9.56", 
      italic(p) == "1.29e-10")

Code
  df_t_inf[["expression"]]
Output
  [[1]]
  list(widehat(italic(beta)) == "6.05", italic(t) == "19.59", italic(p) == 
      "1.20e-18")

  [[2]]
  list(widehat(italic(beta)) == "-0.14", italic(t) == "-9.56", 
      italic(p) == "1.29e-10")

tidy_model_expressions works - chi2

Code
  select(df_chi, -expression)
Output
  # A tibble: 2 x 10
    term  estimate std.error conf.level conf.low conf.high statistic df.error
    <chr>    <dbl>     <dbl>      <dbl>    <dbl>     <dbl>     <dbl>    <dbl>
  1 age     0.0170   0.00923       0.95 -0.00106    0.0351      3.40        1
  2 sex    -0.512    0.168         0.95 -0.840     -0.183       9.31        1
    p.value conf.method
      <dbl> <chr>      
  1 0.0650  Wald       
  2 0.00228 Wald

Code
  df_chi[["expression"]]
Output
  [[1]]
  list(widehat(italic(beta)) == "0.02", italic(chi)^2 * ("1") == 
      "3.40", italic(p) == "0.07")

  [[2]]
  list(widehat(italic(beta)) == "-0.51", italic(chi)^2 * ("1") == 
      "9.31", italic(p) == "2.28e-03")

tidy_model_expressions works - z

Code
  select(df_z, -expression)
Output
  # A tibble: 3 x 10
    term        estimate std.error conf.level conf.low conf.high statistic
    <chr>          <dbl>     <dbl>      <dbl>    <dbl>     <dbl>     <dbl>
  1 (Intercept)   -0.780     0.225       0.95    -1.22    -0.342     -3.47
  2 SexFemale      2.29      0.120       0.95     2.06     2.53      19.1 
  3 AgeAdult      -0.556     0.228       0.95    -1.00    -0.108     -2.44
    df.error  p.value conf.method
       <dbl>    <dbl> <chr>      
  1      Inf 5.14e- 4 profile    
  2      Inf 1.54e-81 profile    
  3      Inf 1.45e- 2 profile

Code
  df_z[["expression"]]
Output
  [[1]]
  list(widehat(italic(beta)) == "-0.78", italic(z) == "-3.47", 
      italic(p) == "5.14e-04")

  [[2]]
  list(widehat(italic(beta)) == "2.29", italic(z) == "19.13", italic(p) == 
      "1.54e-81")

  [[3]]
  list(widehat(italic(beta)) == "-0.56", italic(z) == "-2.44", 
      italic(p) == "0.01")

tidy_model_expressions works - F

Code
  select(df1, -expression)
Output
  # A tibble: 3 x 11
    term  statistic    df df.error p.value group   sumsq meansq estimate
    <chr>     <dbl> <dbl>    <dbl>   <dbl> <chr>   <dbl>  <dbl>    <dbl>
  1 N         9.04      1       15 0.00885 Within 189.   189.   0.184   
  2 P         0.401     1       15 0.536   Within   8.40   8.40 0       
  3 N:P       1.02      1       15 0.329   Within  21.3   21.3  0.000457
    sum.squares.error mean.square.error
                <dbl>             <dbl>
  1              314.              314.
  2              314.              314.
  3              314.              314.

Code
  df1[["expression"]]
Output
  [[1]]
  list(widehat(italic(omega)[p]^2) == "0.18", italic(F)("1", "15") == 
      "9.04", italic(p) == "8.85e-03")

  [[2]]
  list(widehat(italic(omega)[p]^2) == "0.00", italic(F)("1", "15") == 
      "0.40", italic(p) == "0.54")

  [[3]]
  list(widehat(italic(omega)[p]^2) == "4.57e-04", italic(F)("1", 
      "15") == "1.02", italic(p) == "0.33")

Code
  select(df2, -expression)
Output
  # A tibble: 3 x 11
    term  statistic    df df.error p.value group   sumsq meansq estimate
    <chr>     <dbl> <dbl>    <dbl>   <dbl> <chr>   <dbl>  <dbl>    <dbl>
  1 N         9.04      1       15 0.00885 Within 189.   189.     0.376 
  2 P         0.401     1       15 0.536   Within   8.40   8.40   0.0261
  3 N:P       1.02      1       15 0.329   Within  21.3   21.3    0.0635
    sum.squares.error mean.square.error
                <dbl>             <dbl>
  1              314.              314.
  2              314.              314.
  3              314.              314.

Code
  df2[["expression"]]
Output
  [[1]]
  list(widehat(italic(eta)[p]^2) == "0.38", italic(F)("1", "15") == 
      "9.04", italic(p) == "8.85e-03")

  [[2]]
  list(widehat(italic(eta)[p]^2) == "0.03", italic(F)("1", "15") == 
      "0.40", italic(p) == "0.54")

  [[3]]
  list(widehat(italic(eta)[p]^2) == "0.06", italic(F)("1", "15") == 
      "1.02", italic(p) == "0.33")