r - Adding Bars in background of Bargraph -


i have been having issues adding recession bars in background of graph. proper way it? have tried define geom_rect(.....) background did not work out properly.

here code how data:

library(quantmod) library(dplyr) library(ggplot2)   getsymbols("uspriv",src="fred") getsymbols("usgovt",src="fred")  #convert data quantmod dataframes uspriv.df <- data.frame(date= index(uspriv),uspriv$uspriv) usgovt.df <- data.frame(date= index(usgovt),usgovt$usgovt)  #calculate month-to-month difference d.uspriv <- dplyr::mutate(uspriv.df[-1,], duspriv = uspriv.df$uspriv[-1]-uspriv.df$uspriv[-nrow(uspriv.df)]) d.usgovt <- dplyr::mutate(usgovt.df[-1,], dusgovt = usgovt.df$usgovt[-1]-usgovt.df$usgovt[-nrow(usgovt.df)])  df <- dplyr::left_join(d.uspriv, d.usgovt, = "date")  #shorten dataframe, starting in 2007 df.2007 <- dplyr::filter(df, date >= "2007-01-01")  df1.2007 <- dplyr::select(df.2007, date, duspriv, dusgovt)  df1 <- melt(df1.2007, id="date")  ggplot(df1, aes(x=date, y=value)) +          geom_bar(aes(fill=variable),                       stat="identity",                  position=position_dodge()) +         scale_fill_brewer(palette="dark2")

this generates graph here:

what efficient way include recession bars? here code obtain data

getsymbols("usrec",src="fred")  usrec.df <- data.frame(date= index(usrec), usrec$usrec)

if include recession data dataframe , melt it, how define ggplot part?

thank much.

here's more robust solution. should not fail when there multiple recessions (the irony of sentence...). user bergant. note: still need ensure there matching usrec data time frame you're considering. i've done example starting in 1965.

library(quantmod) library(dplyr) library(reshape2) library(ggplot2)   getsymbols("uspriv",src="fred") getsymbols("usgovt",src="fred")  #convert data quantmod dataframes uspriv.df = data.frame(date= index(uspriv),uspriv$uspriv) usgovt.df = data.frame(date= index(usgovt),usgovt$usgovt)  #calculate month-to-month difference d.uspriv = dplyr::mutate(uspriv.df[-1,], duspriv = uspriv.df$uspriv[-1]-uspriv.df$uspriv[-nrow(uspriv.df)]) d.usgovt = dplyr::mutate(usgovt.df[-1,], dusgovt = usgovt.df$usgovt[-1]-usgovt.df$usgovt[-nrow(usgovt.df)])  df = dplyr::left_join(d.uspriv, d.usgovt, = "date")  #shorten dataframe, starting in 1965 df.1965 = dplyr::filter(df, date >= "1965-01-01")  df1.1965 = dplyr::select(df.1965, date, duspriv, dusgovt)  df1 = melt(df1.1965, id="date")   ######### getsymbols("usrec",src="fred") usrec = data.frame(date= index(usrec), usrec$usrec) rownames(usrec) = null  new_df = merge(df1, usrec)  ##############  # go out @bergant bit: dif = diff(new_df$usrec) new_df$status = factor(c(0, dif) - 2 * c(dif, 0), levels = -3:3) levels(new_df$status) = c(rep(0, 4), "start", "end", "start&end")  ##############  start_end_dt = data.frame(             xmin = as.date(new_df$date[new_df$status == "start"])           , xmax = as.date(new_df$date[new_df$status == "end"]) )  ##############

and rest easy:

ggplot(new_df, aes(x=date, y=value)) +    geom_rect(    inherit.aes = false               , data = start_end_dt               , aes(xmin = xmin                   , xmax = xmax                   , ymin=-inf                   , ymax=+inf)               , fill='gray'               , alpha=0.5) +   geom_bar(aes(fill=variable),             stat="identity",            position=position_dodge()) +   scale_fill_brewer(palette="dark2") +      theme_bw() +    theme( panel.grid.minor = element_blank(), panel.grid.major = element_blank() )

enter image description here


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