stand_result | R Documentation |

Convert different statistical reports into a standardized framework (Cohen's D and Variance/Standard Error of Cohen's D)

stand_result(eff_type, raw_effect_size, sd, n_t, n_c)

`eff_type` |
The effect type to convert. Currently accepted options are "d_i_d" (difference in differences), "d_i_m" (difference in means), 'd' (For Cohen's D – this won't recalculate Cohen's D but will estimate its variance and standard error), "unspecified null" (for when authors report that they found null effects but don't give a more precise recording of what those were), "eta_squared" (for eta squared), "reg_coef" (for a regression coefficient), "t_test" (for a T statistic), and "f_test" (for an F test). |

`raw_effect_size` |
the reported test statistic, in terms of the reported statistical information. So, if the eff_type = "t_test", raw_effect_size will equal the T statistic. |

`sd` |
the standard deviation by which you are standardizing the given test statistic. This is needed for some but not all of the equations – F test and T ' statistics already contain information about samplng distribution and thus can be converted directly and this parameter can be left blank. |

`n_t` |
sample size in the treatment group. |

`n_c` |
sample size in the control group. |

stand_result(eff_type = 'd_i_m', raw_effect_size = 2.43, sd = 6.3, n_t = 100, n_c = 100)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.