plot_corr: This function plots the two time series and correlation over...
In mrc-ide/pika: Evaluate Correlation Between Time Series

Description Usage Arguments Value

View source: R/plot_functions.R

This function plots the two time series and correlation over time There are optional arguments for confidence bands on x_var and customisation of the maximum value of the y-axis and labels for the facets of grp_var

plot_corr(
  dat,
  date_var,
  grp_var,
  x_var,
  y_var,
  x_var_lower = NULL,
  x_var_upper = NULL,
  facet_labels = NULL,
  legend_labels = NULL,
  y_max = NULL,
  col_values = c(brewer.pal(8, "RdPu")[8], brewer.pal(8, "Greens")[5], brewer.pal(8,
    "Blues")[8])
)

`dat`	data frame with columns that correspond to two time series and grouping variable(s)
`date_var`	character string of the column name that corresponds to the date variable date_var must be specified if subset_date is not null.
`grp_var`	character string of column names in dat to be used as grouping variable(s)
`x_var`	primary time series (should be a column in dat)
`y_var`	secondary time series (should be a column in dat)
`x_var_lower`	column in dat corresponding to lower bound of confidence band for x_var
`x_var_upper`	column in dat corresponding to upper bound of confidence band for x_var
`facet_labels`	vector of labels for facets (grp_var)
`legend_labels`	character vector of labels to use for plot legend
`y_max`	maximum value of y-axis
`col_values`	vector of color values