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| 01.Introduction.to.heR.Misc | An Introduction to the heR.Misc Package |
| a2df | Convert an array to a data frame |
| add.lp.bin | Add binned data to a log-probability plot |
| add.lp.data | Add raw data to a log-probability plot |
| add.lp.lnorm | Add log-normal distribution to a log-probability plot |
| annotate | Annotate Plots with Text and Arrows |
| areaplot | Draw Area Under a Curve |
| arrayplot | Plot a multi-dimensional array |
| avertime | Time Series Statistics for Increasing Averaging Times |
| barchart2 | Plot Grouped Data as a Trellis of Barcharts |
| bin2lnorm | Fit binned data to a log-normal distribution |
| blank.factors | Blank Nested Factors Under Top Levels |
| bubbleplot | Create a ``bubbleplot'' |
| bwplot2 | plot a bwplot |
| cat.cols | Categorical Colors |
| cdf | Empirical cumulative distribution function |
| comments | Return Comments of Data Frame Columns (Variables) |
| dapply | Apply a Function to Dataframe Variables |
| data2lnorm | Convert raw data to a log-normal distribution |
| distrib | Create or Sample a Distribution |
| fit.ts.empirical | Empirically fit a time series |
| fit.ts.sin | Fit a time series with a sum of sines |
| freq.tables | Convenient Flat Frequency Tables |
| gm | Calculate the Geometric Mean |
| goodgroups | Identify Contiguous Groups of Non-Missing Data |
| gplot2 | Visualize a Graph |
| gsd | Calculate Geometric Standard Deviation |
| integrate.curve | Integrate along a curve |
| is.distrib | Create or Sample a Distribution |
| lo | Create graphics layouts |
| log.axis | Add a log-10 Axis to a Plot |
| log.tics | Calculate nice tics for log axes |
| lpplot | Create an empty log-probability plot |
| lpplot.data | Log-probability plot from raw data |
| mond | Mondrian Plot |
| mpr | Create multiple plots containing line fits |
| optgrid | Optimize a function via grid search |
| panel.superbar | Lattice Panel Function for Grouped Data Barcharts |
| panel.superpose.2 | Trellis panel function to superpose data sets |
| peaks | Locate peaks in a time series |
| place.text | Place vector of text and expressions |
| plot.fit.ts.emp | Plot an Empirical Time Series Fit |
| plot.fit.ts.sin | Plot a Sine Function Time Series Fit |
| plot.log | Plot X-Y Data with Nice Log Axes |
| plot.stacked.boxes | Plot min, median, max as stacked boxes |
| polar.plot | Create a Polar Plot |
| prec | Find the Highest Precision Digit |
| prepanel.superbar | Prepanel Lattice Function for Plotting Grouped Data Barcharts |
| print.comments | Print Data Frame Comments |
| prob.axis | Probability Axis |
| rcdf | Pick Random Numbers from Empirical Data |
| read.fwf.mult | Read Files With Multiple Associated Records in Fixed Width Format |
| rearrange.table | Re-arrange a Summary Statistics Table |
| rose | Plot a Rose Diagram |
| rose2 | Plot a Rose Diagram of Magnitude and Direction |
| rsquared | Coefficient of Determination (R-Squared) |
| run.ci | Calculate Running Statistics |
| runmean | Calculate Running Statistics |
| runmedian | Calculate Running Statistics |
| runsd | Calculate Running Statistics |
| runstderr | Calculate Running Statistics |
| scoeff | Normalized Sensitivity Coefficients |
| sens | Sensitivitiy Coefficients |
| sim.distrib | Create or Sample a Distribution |
| sin.sum | Sum of Sines |
| spline.colors | Colors Defined by a Spline |
| stack.up.data | Convert columns into rows |
| stat.tables | Tabular Summary Statistics |
| striptext | Annotate a Plot With a Strip of Labels |
| sweights | Calculate Stratification Weights |
| tablespecs | Table Specifications |
| time.factor | Factor a Time Series into Even Interval Groups |
| tkdensity | Tk Kernel Density |
| whist | Weighted Histogram |
| xyplot.overlay | Overlaid Trellis XYplots |