#' Time Series Graph
#'
#' For a given basketball team, creates a line graph with date on the x-axis and
#' score on the y-axis. Has two lines for team score and opponent score. Includes
#' an option to use regular lines or a smoother.
#'
#' @param data Tibble of Ken Pomeroy data
#' @param team Character of desired string
#' @param smooth Binary Use smoother.
#'
#' @return A ggplot geom_line or geom_smooth
#'
#' @export
#'
#' @examples
#'
#' ## Regular line plot for Duke
#' time_series_graph(get_cbb_data(), "Duke")
#'
#' ## Smoothed line plot for Duke
#' time_series_graph(get_cbb_data(), "Duke", TRUE)
#'
time_series_graph <- function(data, team, smooth){
if(smooth == 0){
team_filter(data,team) %>%
ggplot(aes(x = date)) +
geom_line(aes(y = teamscore, color = "Team Score"), size = 1, alpha = 0.8) +
geom_point(aes(y = teamscore, color = "Team Score"), size = 1.5) +
geom_line(aes(y = opponentscore, color = "Opponent Score"), size = 1, alpha = 0.6) +
geom_point(aes(y = opponentscore, color = "Opponent Score"), size = 1.5) +
scale_color_manual(name = team,
values = c("Team Score" = "steelblue2",
"Opponent Score" = "springgreen3")) +
labs(x = "Game Date", y = "Score", title = paste(team,"Scores Over Time"))
}else if(smooth == 1){
team_filter(data,team) %>%
ggplot(aes(x = date)) +
geom_smooth(aes(y = teamscore, color = "Team Score"), size = 1, alpha = 0.8) +
geom_smooth(aes(y = opponentscore, color = "Opponent Score"), size = 1, alpha = 0.6) +
scale_color_manual(name = team,
values = c("Team Score" = "steelblue2",
"Opponent Score" = "springgreen3")) +
labs(x = "Game Date", y = "Score", title = paste(team,"Scores Over Time"))
}
}
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