plot_cycl_elev: Plot yearly cycle and elevation dependency.
In ERottler/alptempr: Statistical analysis of alpine climatological data

Plot yearly cycles of moving average analysis and annual averages to visualize elevation dependency for multiple stations of different elevation categories.

plot_cycl_elev(data_in, data_mk, data_in_me, data_meta, main_text = "",
  margins_1 = c(1.4, 1.8, 1.8, 0.2), margins_2 = c(1.4, 0.2, 1.8, 3.5),
  no_col = F, show_mk = F, aggr_cat_mean = F, with_hom_dat = F,
  smooth_val = 0.2, mk_sig_level = 0.05, add_st_num = T)

`data_in`	Input data frame holding results of moving average analysis.
`data_mk`	Input analysis with results of Mann-Kendall trend test.
`data_in_me`	Data frame with annual average values of stations.
`data_meta`	Station meta data.
`main_text`	Plot title
`margins_1`	Figure margins of left plot panel
`margins_2`	Figure margins of right plot panel.
`no_col`	Display elevation categories with different colors (T or F)
`aggr_cat_mean`	If TRUE, uasnge mean average instead of median for calculation af category averages
`with_hom_dat`	Display stations with homogenized time series (T or F)
`smooth_val`	Smoothing value for LOESS.
`mk_sig_level`	Significance level alpha.
`add_st_num`	Add number of stations of each category top right (T or F)
`snow_mk`	Snow days with significant trends with yellow dots (T or F)