Tools for Statistical Inference
inferr builds upon the statistical tests provided instats, provides additional and flexible input optionsand more detailed and structured test results. As of version 0.3,inferr includes a select set of parametric andnon-parametric statistical tests which are listed below:
# install inferr from CRANinstall.packages("inferr")# the development version from github# install.packages("devtools")devtools::install_github("rsquaredacademy/inferr")ifr_os_t_test(hsb, write,mu =50,type ='all')#> One-Sample Statistics#> ---------------------------------------------------------------------------------#> Variable Obs Mean Std. Err. Std. Dev. [95% Conf. Interval]#> ---------------------------------------------------------------------------------#> write 200 52.775 0.6702 9.4786 51.4537 54.0969#> ---------------------------------------------------------------------------------#>#> Two Tail Test#> ---------------#>#> Ho: mean(write) ~=50#> Ha: mean(write) !=50#> --------------------------------------------------------------------------------#> Variable t DF Sig Mean Diff. [95% Conf. Interval]#> --------------------------------------------------------------------------------#> write 4.141 199 0.00005 2.775 1.4537 4.0969#> --------------------------------------------------------------------------------ifr_oneway_anova(hsb, write, prog)#> ANOVA#> ----------------------------------------------------------------------#> Sum of#> Squares DF Mean Square F Sig.#> ----------------------------------------------------------------------#> Between Groups 3175.698 2 1587.849 21.275 0#> Within Groups 14703.177 197 74.635#> Total 17878.875 199#> ----------------------------------------------------------------------#>#> Report#> -----------------------------------------#> Category N Mean Std. Dev.#> -----------------------------------------#> 1 45 51.333 9.398#> 2 105 56.257 7.943#> 3 50 46.760 9.319#> -----------------------------------------#>#> Number of obs = 200 R-squared = 0.1776#> Root MSE = 8.6392 Adj R-squared = 0.1693ifr_chisq_assoc_test(hsb, female, schtyp)#> Chi Square Statistics#>#> Statistics DF Value Prob#> ----------------------------------------------------#> Chi-Square 1 0.0470 0.8284#> Likelihood Ratio Chi-Square 1 0.0471 0.8282#> Continuity Adj. Chi-Square 1 0.0005 0.9822#> Mantel-Haenszel Chi-Square 1 0.0468 0.8287#> Phi Coefficient 0.0153#> Contingency Coefficient 0.0153#> Cramer's V 0.0153#> ----------------------------------------------------ifr_levene_test(hsb, read,group_var = race)#> Summary Statistics#> Levels Frequency Mean Std. Dev#> -----------------------------------------#> 1 24 46.67 10.24#> 2 11 51.91 7.66#> 3 20 46.8 7.12#> 4 145 53.92 10.28#> -----------------------------------------#> Total 200 52.23 10.25#> -----------------------------------------#>#> Test Statistics#> -------------------------------------------------------------------------#> Statistic Num DF Den DF F Pr > F#> -------------------------------------------------------------------------#> Brown and Forsythe 3 196 3.44 0.0179#> Levene 3 196 3.4792 0.017#> Brown and Forsythe (Trimmed Mean) 3 196 3.3936 0.019#> -------------------------------------------------------------------------ifr_cochran_qtest(exam, exam1, exam2, exam3)#> Test Statistics#> ----------------------#> N 15#> Cochran's Q 4.75#> df 2#> p value 0.093#> ----------------------hb<- hsbhb$himath<-ifelse(hsb$math>60,1,0)hb$hiread<-ifelse(hsb$read>60,1,0)ifr_mcnemar_test(hb, himath, hiread)#> Controls#> ---------------------------------#> Cases 0 1 Total#> ---------------------------------#> 0 135 21 156#> 1 18 26 44#> ---------------------------------#> Total 153 47 200#> ---------------------------------#>#> McNemar's Test#> ----------------------------#> McNemar's chi2 0.2308#> DF 1#> Pr > chi2 0.631#> Exact Pr >= chi2 0.7493#> ----------------------------#>#> Kappa Coefficient#> --------------------------------#> Kappa 0.4454#> ASE 0.075#> 95% Lower Conf Limit 0.2984#> 95% Upper Conf Limit 0.5923#> --------------------------------#>#> Proportion With Factor#> ----------------------#> cases 0.78#> controls 0.765#> ratio 1.0196#> odds ratio 1.1667#> ----------------------If you encounter a bug, please file a minimal reproducible exampleusingreprex ongithub. For questions and clarifications, useStackOverflow.