Less Code, More Results
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Documentation for package ‘lessR’ version 4.3.2
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A B C D E F G H I K L M N P R S T V W X misc
-- A --
| ANOVA | Analysis of Variance |
| av | Analysis of Variance |
| av_brief | Analysis of Variance |
-- B --
| BarChart | Bar Chart for One or Two Variables |
| bc | Bar Chart for One or Two Variables |
| BoxPlot | Plot One or Two Continuous and/or Categorical Variables |
| bx | Plot One or Two Continuous and/or Categorical Variables |
-- C --
| 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 |
| cp | Proportionality Coefficients from Correlations |
| cr | Correlation Analysis |
| cr_brief | Correlation Analysis |
-- D --
| dataAnova_1way | Data for a One-Way ANOVA |
| dataAnova_2way | Data for a Two-Way Balanced Factorial Design |
| dataAnova_rb | Data for a Randomized Block ANOVA |
| dataAnova_rbf | Data for a Randomized Block Factorial ANOVA |
| dataAnova_sp | Data for a Split-Plot ANOVA |
| dataBodyMeas | Data: Body Measurements |
| dataCars93 | Data: Cars93 |
| dataEmployee | Data: Employees |
| dataEmployee_lbl | VariableLabels: Employee Data Set |
| dataFreqTable99 | Data: Joint Frequency Table |
| dataJackets | Data: Motorcycle Type and Thickness of Jacket |
| dataLearn | Data: Distributed vs Massed Practice |
| dataMach4 | Data: Machiavellianism |
| dataMach4_lbl | VariableLabels: Mach4 Data Set |
| dataReading | Data: Reading Ability |
| dataStockPrice | Data: Stock price of Apple, IBM and Intel from 1985 through June of 2022 |
| dataWeightLoss | Data: WeightLoss |
| db | Display Contents of a Data File and Optional Variable Labels |
| Density | Density Curves from Data plus Histogram |
| details | Display Contents of a Data File and Optional Variable Labels |
| dn | Density Curves from Data plus Histogram |
-- E --
| efa | Exploratory Factor Analysis and Multiple Indicator Measurement Model |
-- F --
| factors | Create Factor Variables Across a Sequential Range or Vector of Variables |
-- G --
| getColors | Hue, Chroma, Luminance (HCL) Color Wheel or Specified Colors |
-- H --
| Histogram | Histogram |
| hs | Histogram |
-- I --
| interact | Run Interactive Shiny Data Visualizations |
-- K --
| kurtosis | Kurtosis |
-- L --
| label | Assign Variable Labels [Superseded by VariableLabels] |
| lc | Line Chart such as a Run Chart or Time-Series Chart |
| LineChart | Line Chart such as a Run Chart or Time-Series Chart |
| Logit | Logit Regression Analysis |
| lr | Logit Regression Analysis |
-- M --
| Merge | Merge Two Data Frames Horizontally or Vertically |
| Model | Regression Analysis, ANOVA or t-test |
| model | Regression Analysis, ANOVA or t-test |
| model_brief | Regression Analysis, ANOVA or t-test |
| mrg | Merge Two Data Frames Horizontally or Vertically |
-- N --
| Nest | Nest the Values of an Integer or Factor Variable |
| nt | Nest the Values of an Integer or Factor Variable |
-- P --
| pc | Pie Chart |
| PieChart | Pie Chart |
| pivot | Create a Pivot (Summary) Table |
| 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 |
| prop | Analysis of Prop_test |
| Prop_test | Analysis of Prop_test |
-- R --
| rd | Read Contents of a Data File with Optional Variable Labels and Feedback |
| rd.cor | Read Specified Correlation Matrix |
| 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 |
| recode | Recode the Values of an Integer or Factor Variable |
| reflect | Reflect Specified Variables in a Correlation Matrix |
| reg | Regression Analysis |
| regPlot | regPlot Analysis |
| Regression | Regression Analysis |
| reg_brief | Regression Analysis |
| rename | Rename One or More Variables in a Data Frame |
| reord | Reorder Variables in a Correlation Matrix |
| rescale | Rescale a Variable |
| reshape_long | Reshape a Wide-Form Data Frame to Long-Form |
| reshape_wide | Reshape a Wide-Form Data Frame to Wide-Form |
-- S --
| 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 |
| see | View the Upper and Left Corners of a Data Frame |
| 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 |
| skew | Skew of a variable. |
| Sort | sort_by the Rows of a Data Frame |
| sort_by | sort_by the Rows of a Data Frame |
| sp | Plot One or Two Continuous and/or Categorical Variables |
| ss | 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 |
| Subset | Subset the Values of One or More Variables |
| SummaryStats | Summary Statistics for One or Two Variables |
-- T --
| to | Create a Sequence of Numbered Variable Names with a Common Prefix and Width |
| train_test | Create Training and Testing Data |
| Transform | Deprecated: Transform the Values of an Integer or Factor Variable |
| tt | 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 |
-- V --
| values | List the Values of a Variable |
| VariableLabels | Create or Display Variable Labels |
| ViolinPlot | Plot One or Two Continuous and/or Categorical Variables |
| vl | Create or Display Variable Labels |
| vp | Plot One or Two Continuous and/or Categorical Variables |
-- W --
| Write | Write the Contents of a Data Frame to an External File |
| wrt | Write the Contents of a Data Frame to an External File |
| wrt_r | Write the Contents of a Data Frame to an External File |
| wrt_x | Write the Contents of a Data Frame to an External File |
-- X --
| xAnd | Text Processing: Insert and Into a List |
| xNum | Text Processing: Convert a Number to a Word |
| xP | Text Processing: Print Formatted Numbers |
| xRow | Text Processing: Add the Word Row to Case Labels that Could be Numeric |
| xU | Text Processing: Capitalize First Letter of a Word |
| xW | Text Processing: Wrap Words to Create New Lines From a Specified Line |
-- misc --
| . | Function . for Selecting Rows/Columns with base R Extract |