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

Usage

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])
)

Arguments

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

Value

tibble of lags by grp_var