I'm creating a weekly time series chart, and week should start with Sunday. When I specify scale_x_date(breaks = date_breaks('1 week')) grid line and labels start on Monday, so results looks slightly off. How can I force ggplot scale_x_date week to start on Sunday
This is example of my code
library(ggplot2)
library(scales)
data.set <- structure(list(week.start = structure(c(15732, 15739,
15746, 15753, 15760, 15767, 15774, 15781,
15788, 15795, 15802, 15809 ), class =
"Date"), overtime.avg = c(2.8,
2.85666666666667, 2.18333333333333,
2.44666666666667, 2.04833333333333,
2.45833333333333, 2.12833333333333,
1.81666666666667, 1.82166666666667,
1.54333333333333, 2.09166666666667,
0.970833333333333)), .Names =
c("week.start", "overtime.avg"), row.names
= 29733:29744, class = "data.frame")
ggplot(data = data.set,
aes(x = week.start,
y = overtime.avg)) +
geom_line() +
geom_point() +
scale_x_date(breaks = date_breaks("1 week"),
labels = date_format(format = "%Y-%m-%d"))
One way would be to use function seq()
and provide your own break points starting with first Sunday (used minimal value of week.start
) and set by="week"
.
ggplot(data = data.set,aes(x = week.start,y = overtime.avg)) +
geom_line() +
geom_point() +
scale_x_date(breaks = seq(min(data.set$week.start),max(data.set$week.start),by="week"),
labels = date_format(format = "%Y-%m-%d"))
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