fill_plot: Plot gap-filled dendrometer series
In dendrometeR: Analyzing Dendrometer Data

Description Usage Arguments Details Value Author(s) Examples

The function creates a plot with gap-filled and original dendrometer series.

1 2	fill_plot(dm.data, dm.gpf, sensor = 1, year = NULL, period = NULL)

`dm.data`	a `data.frame` with a timestamp (`%Y-%m-%d %H:%M:%S` format) as row names, and dendrometer series in columns. Output as created using code from the `Import dendrometer data` vignette.
`dm.gpf`	a `data.frame` with gap-filled dendrometer series as produced by `fill_gaps`.
`sensor`	a `numeric` specifying the sensor to be plotted (by column number). Defaults to 1 (first dendrometer series in both `data.frames`).
`year`	a `numeric` specifying the year(s) to be plotted. Defaults to the first year in the dataset. Two consecutive years (e.g., for a growing season at the Southern Hemisphere) can be defined with `year = c(year1, year2)`.
`period`	a `numeric` indicating the period to be plotted, specified using day of year values (begin and end). Defaults to the complete data period.

The function creates a plot showing the gap-filling results for a single dendrometer series over a specified time window. Although the function is intended to plot short time periods (within a growing season), it can plot two calendar years at maximum (e.g., 2014-2015), thereby allowing the visualization of a complete growing season at the Southern Hemisphere as well.

Plot.

Olivier Bouriaud, Ernst van der Maaten and Marieke van der Maaten-Theunissen.

## Not run: 

data(dmCD)
## creating some artificial gaps (for demonstration purposes):
dmCD[c(873:877,985:990),1] <- NA
dm.gpf <- fill_gaps(dmCD, Hz = 0.01)
fill_plot(dmCD, dm.gpf, period = c(137,144))

## End(Not run)