line_plot
library(ezplot)
suppressPackageStartupMessages(library(tsibble))
library(tsibbledata)
library(ggplot2)
line_plot(ansett, x = "Week", y = "Passengers")
![](data:image/png;base64,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)
line_plot(ansett, x = "Week", y = "Passengers", "Class")
![](data:image/png;base64,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)
line_plot(pelt, "Year", "Hare", limits_y = c(0, NA))
![](data:image/png;base64,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)
line_plot(pelt, "Year", c("Hare", "Lynx"), points = TRUE)
![](data:image/png;base64,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)
line_plot(pelt, "Year", c("Hare", "Lynx"), points = 0.5)
![](data:image/png;base64,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)
line_plot(pelt, "Year", c("Hare", "Lynx"), points = TRUE, limits_y = c(0, NA))
![](data:image/png;base64,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)
line_plot(pelt, "Year", "Hare", use_theme = ggplot2::theme_bw)
![](data:image/png;base64,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)
line_plot(pelt, "Year", c("Hare Population" = "Hare"))
![](data:image/png;base64,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)
line_plot(pelt[pelt$Year > 1930,], "factor(Year)", c("Hare Population" = "Hare"), points = TRUE)
![](data:image/png;base64,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)
line_plot(pelt[pelt$Year > 1930,], "factor(Year)", c("Hare", "Lynx"), points = TRUE)
![](data:image/png;base64,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)