| biplt | make a biplot that allows you to see the relationship between... |
| bootreg | Validating a bootstrap linear regression model |
| catego | Determining groups based on the results of a pairwise... |
| check_ech | Determine the differences in mean that I can detect for a... |
| cooks.distance_lmer | Function to compute Cook's distance for mixed models |
| cor_ech | Anticipate the sample size needed to detect a correlation (if... |
| corrigraph | igraph of correlated variables global or in relation to y |
| device.print | Plot data.frame and titles |
| dsc | Obtain the best configuration to meet the objectives... |
| dsc2 | Check the robustness of a suggested dsc() prediction of X for... |
| dvar | Diversifies the variables of a dataframe by testing... |
| evolreg | Identify the best linear, logistic or mixed regression model... |
| exp_dyn | Dynamic expansion on a vector (changing the mean without... |
| force.numeric | Force numerical variable to be numeric in a dataframe |
| identify_ech | Identify the sample size needed to detect a difference... |
| ind.median | Indexes around median. |
| int.ech | Confidence interval of a sample |
| int.pop | Confidence interval of a population |
| int.prop | Confidence interval of a proportion |
| int.prop.table | Confidence intervals on a matrix of a contingent |
| jb.normtest | Jarque Bera test for normality |
| jb.norm.test | Jarque-Bera test for normality |
| kurtosis.norm.test | Kurtosis test for normality |
| lms.to.table | Make a table to summarize coefficients of a list of linear... |
| meanbp | Moving average (weighted) per iteration |
| mm.test | Automatic mean/median comparison |
| Mode | Calculation of the mode of a dataset |
| m.test | Automatic average/median/variance comparison function. |
| pairwise | Automation function for pairwise calculations. |
| pairwise.boot | Calculate an pairwise difference between samples by bootstrap... |
| parco | Parallel coordinates in a single line of code |
| pareto | Pareto chart |
| pde | Vary two parameters in a recipe and model the ideal recipe. |
| rr | Gage R&R |
| skewness.norm.test | Skewness test for normality |
| star | A function that transforms pvalues in stars *** |
| star.lm | Get stars for a linear model |
| valreg | Function to validate a regression model |
| wilcoxon.cut.test | Compare two halves of a population by Wilcoxon test. |
