visualize_time: Visualize by time period.
In tonyelhabr/tetext: Tony's Personal Package for Text Analysis

Description Usage Arguments Details Value See Also

Visualize time-based data over time.

visualize_time_at(data = NULL, timebin = NULL, bin = FALSE,
  timefloor = NULL, color = NULL, geom = c("bar", "hist"),
  add_alpha = FALSE, alpha_range = c(0.25, 1),
  scale_manual_base = default_scale_manual(), scale_manual_params = list(),
  labs_base = default_labs(), labs_params = list(title = "Count Over Time"),
  theme_base = default_theme(panel.grid.major.x = ggplot2::element_blank()),
  theme_params = list())

visualize_time(..., timebin, color)

visualize_time_facet_at(..., theme_base = default_theme(panel.grid.major.x =
  ggplot2::element_blank()), facet = NULL,
  facet_base = default_facet(facet), facet_params = list())

visualize_time_facet(..., timebin, color, facet)

`data`	data.frame.
`timebin`	bare for NSE; character for SE. Name of column in `data` to use for time axis.
`bin`	logical. Whether or not to call `lubridate::floor_date()` to truncate `timebin`.
`timefloor`	character. Name of column passed directly to `unit` parameter of `lubridate::floor_date()` if `bin = FALSE`.
`color`	bare for NSE; character for SE. Name of column in `data` to use for color basis. Even if `fill` is the actual `ggplot2` aesthetic, the internal code will 'coerce' this column to `fill`. In order to simplify internal code, MUST be specified.
`geom`	character. 'bar' or 'hist'. 'bar' is probably best for everything except `Date` objects.
`add_alpha`	logical. Whether or not to use `ggplot2::scale_alpha()` based on count.
`alpha_range`	numeric (vector). Direct parameter passed to `range` parameter of `ggplot2::scale_alpha()`.
`scale_manual_base`	list. Parameters to pass to `ggplot2::scale_fill_manual()` or `ggplot2::scale_color_manual()`, depending on the aesthetic mapping. A default `values` argument is specified in the internal function `default_scale_manual()`, so if overwriting explicitly, then `values` should be included in the list.
`scale_manual_params`	list. Additional parameters to pass to `ggplot2::scale_fill_manual()` or `ggplot2::scale_color_manual()` (e.g. `breaks`, `labels`, or `name`). The default `values` specified by `scale_manual_base = default_scale_manual()` can be overwritten a `values` argument in this list (or directly with a `values` argument in the `scale_manual_base` list.
`labs_base`	`ggplot2::labs()` function. Defaults to a pre-determined set of values. It is recommended NOT to modify this argument; isntead, the `_params` argument should be used for customization.
`labs_params`	list. Additional parameters to pass to `ggplot2::labs()` to use in addition to and/or override the parameters set in the `_base` parameter.
`theme_base`	`ggplot2::theme()` function. (e.g. as `ggplot2::theme_minimal()`.) A custom theme is supplied as a default. As with the the `labs_base` argument, it is NOT recommended to change this directly.
`theme_params`	list. Additional parameters to pass to `ggplot2::labs()`. Should be used in the same manner as `labs_params` for customization.
`...`	dots. Parameters to pass directly to `visualize_time()`.
`facet`	bare for NSE; character for SE. Name of column in `data` to use for facetting.
`facet_base`	`ggplot2::facet_wrap()` function. An internal function sets defaults for `facets`, `scales`, `ncol`, `nrow`, and `strip.position` As with the `labs_base` and `theme_base` arguments, it is NOT recommended to set this argument explicitly; instead, the accompanying `_params` argument should be used.
`facet_params`	list. Additional parameters to pass to `ggplot2::facet_wrap()`. Parameters passed to this argument override thos in the `_base` argument.

facet version is for facetting. Lists are used for customization arguments (instead of dots) because there are multiple arguments that can be customized.

https://juliasilge.com/blog/ten-thousand-tweets/.

tonyelhabr/tetext documentation built on May 14, 2019, 8:03 a.m.