Man pages for dosc91/SfL
Statistics for Linguistics
| corfun | Compute Correlation Coefficients |
| correlation_matrix | Create Correlation Matrix |
| create_error_bar_df | Create Error Bar Dataframe |
| data_a | data_a - Age and Looks |
| data_c | data_c - Incomplete Neutralization |
| data_g | data_g - Gender in German Role Nouns |
| data_k | data_k - Semantic Correlation Data |
| data_o | data_o - Cuteness & Size of Aliens |
| data_p | data_p - Program Awards |
| data_r | data_r - Response Data |
| data_s | data_s - Duration of word-final /s/ in English |
| data_t | data_t - Tonal Alignment in German |
| data_v | data_v - Vowel Shortening in German |
| data_z | data_z - Highly Correlated Data |
| heteroscedasticity_check | Check Heteroscedasticity and Linearity of a Model |
| mode_stat | Mode (Statistical) |
| multinomial_p | Compute p-values for Multinomial Regression |
| normality_check | Check Normality of a Model |
| open_exercise | Open Exercise |
| open_exercises | Open Exercises |
| open_slide | Open Slide |
| open_slides | Open Slides |
| ordinal_p | Compute p-values for Ordinal Regression |
| pairwise_wilcox | Compute Pairwise Wilcoxon Tests |
| predictor_competition | Compare Variables for Predictor Strength |
| predictor_competition2 | Compare Variables for Predictor Strength 2 |
| predictor_strength | Compute Predictor Strength |
| se | Standard Error |
| tukey | Tukey Contrasts |
