| ca |
CountAll Descriptive Analysis of all Variables in the Data Frame |
| cfa |
Confirmatory Factor Analysis of a Multiple Indicator Measurement Model |
| corCFA |
Confirmatory Factor Analysis of a Multiple Indicator Measurement Model |
| corEFA |
Exploratory Factor Analysis and Multiple Indicator Measurement Model |
| corProp |
Proportionality Coefficients from Correlations |
| corRead |
Read Specified Correlation Matrix |
| corReflect |
Reflect Specified Variables in a Correlation Matrix |
| Correlation |
Correlation Analysis |
| corReorder |
Reorder Variables in a Correlation Matrix |
| corScree |
Eigenvalue Plot of a Correlation Matrix |
| CountAll |
CountAll Descriptive Analysis of all Variables in the Data Frame |
| cr |
Correlation Analysis |
| cr.brief |
Correlation Analysis |
| cr_brief |
Correlation Analysis |
| pc |
Pie Chart |
| PieChart |
Pie Chart |
| pl |
Plot One or Two Continuous and/or Categorical Variables |
| Plot |
Plot One or Two Continuous and/or Categorical Variables |
| print.out |
Display a Portion of Output from a Saved List Object |
| print.out_all |
Display All Text Output from a Saved List Object |
| prob.norm |
Compute and Plot Normal Curve Probabilities over an Interval |
| prob.tcut |
Plot t-distribution Curve and Specified Cutoffs with Normal Curve |
| prob.znorm |
Plot a Normal Curve with Shaded Intervals by Standard Deviation |
| prob_norm |
Compute and Plot Normal Curve Probabilities over an Interval |
| prob_tcut |
Plot t-distribution Curve and Specified Cutoffs with Normal Curve |
| prob_znorm |
Plot a Normal Curve with Shaded Intervals by Standard Deviation |
| prop |
Proportionality Coefficients from Correlations |
| rd |
Read Contents of a Data File with Optional Variable Labels and Feedback |
| rd.brief |
Read Contents of a Data File with Optional Variable Labels and Feedback |
| rd.cor |
Read Specified Correlation Matrix |
| rd_brief |
Read Contents of a Data File with Optional Variable Labels and Feedback |
| rd_lbl |
Read Contents of a Data File with Optional Variable Labels and Feedback |
| Read |
Read Contents of a Data File with Optional Variable Labels and Feedback |
| Read2 |
Read Contents of a Data File with Optional Variable Labels and Feedback |
| rec |
Recode the Values of an Integer or Factor Variable |
| Recode |
Recode the Values of an Integer or Factor Variable |
| reflect |
Reflect Specified Variables in a Correlation Matrix |
| reg |
Regression Analysis |
| reg.brief |
Regression Analysis |
| regPlot |
regPlot Analysis |
| Regression |
Regression Analysis |
| reg_brief |
Regression Analysis |
| reord |
Reorder Variables in a Correlation Matrix |
| scales |
Confirmatory Factor Analysis of a Multiple Indicator Measurement Model |
| ScatterPlot |
Plot One or Two Continuous and/or Categorical Variables |
| scree |
Eigenvalue Plot of a Correlation Matrix |
| set |
Set the Default Color Theme and Other System Settings |
| showColors |
Display All Named R Colors and Corresponding rgb Values |
| showPalettes |
Display Color Palettes |
| simCImean |
Pedagogical Simulation for the Confidence Interval of the Mean |
| simCLT |
Pedagogical Simulation for the Central Limit Theorem |
| simFlips |
Pedagogical Binomial Simulation, Coin flips |
| simMeans |
Pedagogical Simulation of Sample Means over Repeated Samples |
| Sort |
Sort the Rows of a Data Frame |
| sp |
Plot One or Two Continuous and/or Categorical Variables |
| srt |
Sort the Rows of a Data Frame |
| ss |
Summary Statistics for One or Two Variables |
| ss.brief |
Summary Statistics for One or Two Variables |
| ss_brief |
Summary Statistics for One or Two Variables |
| style |
Set the Default Color Theme and Other System Settings |
| subs |
Subset the Values of One or More Variables |
| Subset |
Subset the Values of One or More Variables |
| SummaryStats |
Summary Statistics for One or Two Variables |
| to |
Create a Sequence of Numbered Variable Names with a Common Prefix and Width |
| trans |
Transform the Values of an Integer or Factor Variable |
| Transform |
Transform the Values of an Integer or Factor Variable |
| tt |
Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics |
| tt.brief |
Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics |
| ttest |
Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics |
| ttestPower |
Compute a Power Curve for a One or Two Group t-test |
| ttp |
Compute a Power Curve for a One or Two Group t-test |
| tt_brief |
Generic Method for t-test and Standardized Mean Difference with Enhanced Graphics |