Man pages for hadley/bigvis
Tools for visualisation of big data sets
| autoplot.condensed | Autoplot condensed summaries. |
| best_h | Find "best" smoothing parameter using leave-one-out cross... |
| bigvis | The big vis package. |
| bin | Create a binned variable. |
| breaks | Compute breaks given origin and width. |
| condense | Efficient binned summaries. |
| condensed | Condensed: an S3 class for condensed summaries. |
| dchallenge | Density and random number generation functions for a... |
| dgrid | dgrid: an S3 class for data grids |
| find_origin | Find the origin. |
| find_width | Compute a reasonable default binwidth. |
| frange | Efficient implementation of range. |
| h_grid | Generate grid of plausible bandwidths for condensed summary. |
| is.ranged | Test if an object is of class ranged. |
| movies | Movie information and user ratings from IMDB.com. |
| mt | Modulus transformation (and its inverse). |
| peel | Peel off low density regions of the data. |
| ranged | A S3 class for caching the range of a vector |
| rmse_cvs | Estimate smoothing RMSE using leave-one-out cross-validation. |
| round_any.condensed | Round any method for condensed objects |
| smooth | Smooth a condensed data frame. |
| standardise | Standardise a summary to sum to one. |
| transform.condensed | Transform condensed objects, collapsing unique bins. |
| weighted.ecdf | A weighted ecdf function. |
| weighted.IQR | Compute the interquartile range of weighted data. |
| weighted.median | Compute the median of weighted data. |
| weighted.quantile | Compute quantiles of weighted data. |
| weighted.var | Compute a weighted variance or standard deviation of a... |
