| approxErrorPropagation | Approximative error propagation rule |
| beta0hat | Simple linear regression estimator beta0 |
| beta1hat | Simple linear regression estimator beta1 |
| binomMean | Calculates the mean of a binomial distributed random variable |
| binomVar | Calculates the variance of a binomial distributed random... |
| bonferroni | The bonferroni corrected alpha |
| confInterval | One sample confidence interval for the mean |
| confInterval2 | Two sample confidence interval for mean1 - mean2 |
| confIntLine | Confidence interval for line |
| criticalval | The critical value |
| cv | Calculates the coefficient of variation (CV) |
| df2 | Two sample degrees of freedom |
| FBl | Block test statistic Ftr |
| Fobs | Calculate the test statistic F_obs |
| FTr | Treatment test statistic Ftr |
| hyperMean | Calculates the mean of a hypergeometric distributed variable |
| hyperVar | Calculates the variance of a hypergeometric distributed... |
| linearAnal | Simple linear regression analysis |
| lsp | Searching for functions in a package |
| ME | Margin of error |
| MSBl | Mean block sum of squares |
| MSE | Mean residual sum of squares (errors) |
| MSTr | Mean treatment sum of squares |
| paraConfInt | Parameter estimator confidence interval |
| postHocConfInt | Post Hoc pairwise confidence interval |
| predIntLine | Prediction interval for line |
| propConfInt | Proportion confidence interval |
| pval1 | The one-sample t-test p-value |
| pval2 | Two sample p-value |
| pvalANOVA | Calculate the p-value |
| pvalBeta | p-value for simple linear regression |
| pvalBl | Calculating p-value for blocks |
| pvalPostHoc | Post hoc pairwise hypothesis test p-value for One- and... |
| pvalTr | Calculating p-value for treatments |
| Q0 | Q0, or the minimum value |
| Q1 | Q1, or the lower quartile |
| Q2 | Q2, or the median |
| Q3 | Q3, or the upper quartile |
| Q4 | Q4, or the maximum value |
| rawConfInterval2 | Two sample confidence interval for mean1 - mean2 |
| rawdf2 | Two sample degrees of freedom |
| rawME | Margin of error |
| rawMeanInterval | Calculates the mean confidence interval without a vector |
| rawPropConfInt | Proportion confidence interval |
| rawPval2 | Raw two sample p-value |
| rawSdInterval | Calculates the standard deviation confidence interval without... |
| rawTobs2 | Raw tobs of two samples |
| rawVarInterval | Calculates the variance confidence interval without a vector |
| RSS | Residual sum of squares |
| sampleSizeME | Confidence interval sample size |
| sdInterval | Standard deviation interval |
| SEM | Calculates the sample error of the mean of a set |
| sigmaBeta0 | Variation of estimator beta0 |
| sigmaBeta1 | Variation of estimator beta1 |
| sigmaSquare | Variance of estimators |
| SSBl | Block sum of squares |
| SSE | Residual sum of squares |
| SST | Total sum of squares |
| SSTr | Treatment sum of squares |
| Sxx | The sample correct sum of squares |
| tobs1 | The one-sample t-test statistic |
| tobs2 | Two sample t_obs value |
| tobsBeta | Test statistic tobs for estimator beta |
| tobsPostHoc | Post hoc pairwise hypothesis test t-value |
| varInterval | Variance interval |
| wally | Create a wallyplot |
| zobs | The test statistic Z_obs |
| zobs2 | The test statistic Z_obs for two sample proportions |
| zval | The Z-distribution value |
