r - ggplot2: plotting time series data by month & week -


i'm trying plot time series data week , month; ideally, think, i'd use boxplots visualise daily data binned week. while can change labels , gridlines on x-axis using scale_x_date, won't affect points in plot.

here's demonstration of problem , current (clumsy) solution. 

library(zoo) library(ggplot2)  d = as.date(c(as.date("2007-06-01"):as.date("2008-05-31"))) # using zoo reformat numeric  x = runif(366, min = 0, max = 100) df = data.frame(d,x)  # problem #     p = ggplot(df, aes(d, x)) p + geom_point() p + geom_boxplot() # more or less useless  # current fix # df$year.month <- format(df$d, "%y-%m") p = ggplot(df, aes(year.month, x)) p + geom_point(alpha = 0.75) p + geom_boxplot() # i'm trying to...

i feel there's more elegant way within ggplot. right?

@shadow's answer below neater. there way using binning? using stats in form, perhaps?

you can treat dates dates in r, , use scale_x_date() in ggplot x-labels want.

  • also, find easier create new variable-factor called "month" group boxplots month. in case used lubridate accomplish task.

  • if not want go through trouble of creating new variable "month", bloxplot plotted on 15th of month, making viz reading bit more difficult.

    library(magrittr) library(lubridate) library(dplyr)  df %>%   mutate(date2 = as.date(paste0("2000-", month(d), "-", "01"))) %>%   mutate(month = lubridate::month(d)) %>%  ggplot(aes(date2, x, group=month)) +   geom_boxplot() +   scale_x_date(date_breaks="1 month", date_labels = "%b")

enter image description here

if not create variable "month", boxplots won't align nicely x tick marks:

enter image description here


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