Removing gap between ggplot y-axis and first x-val

I need to remove the gap preceding 1950 on the x axis.

I have attempted to use scale_x_continuous but this results in:

Error: Discrete value supplied to continuous scale

I believe this must have something to do with the date format of the data.

Example Data:

x      y                date
1    -631152000 -1.018 1950-01-01 01:32:40
2    -628473600 -1.143 1950-02-01 01:32:40
3    -626054400 -1.290 1950-03-01 01:32:40
4    -623376000 -1.061 1950-04-01 01:32:40
5    -620784000 -1.416 1950-05-01 01:32:40
6    -618105600 -1.372 1950-06-01 01:32:40
7    -615513600 -1.334 1950-07-01 01:32:40
8    -612835200 -1.050 1950-08-01 01:32:40
9    -610156800 -0.578 1950-09-01 01:32:40
10   -607564800 -0.395 1950-10-01 01:32:40

The code used to create the plot:

Plot <- ggplot(d2,aes(x = date,
              y = y)) + 
  geom_area(data=subset(d2, y<=0), fill="blue") + 
  geom_area(data=subset(d2, y>=0), fill="red") + 
  scale_y_continuous(name = "MEI")+
  xlab("Year")+
  theme(axis.text.y   = element_text(size=24),
        axis.text.x   = element_text(size=24),
        axis.title.y  = element_text(size=24),
        axis.title.x  = element_text(size=24),
        panel.background = element_blank(),
        panel.grid.major = element_line(colour = "grey"), 
        strip.background = element_blank(),
        panel.border = element_rect(colour = "black", fill = NA),
        axis.line = element_line(colour = "black"))

Any help would be greatly appreciated!!!

You can use the expand argument of scale_x_datetime to remove the space between the axis and the start of the data. (you can also use this in scale_y(x)_continuous, and others...)

# your data - tweaked to include pos / neg y values
d2 <- read.table(text="x      y                date
1    -631152000 -1.018 '1950-01-01 01:32:40'
2    -628473600 -1.143 '1950-02-01 01:32:40'
3    -626054400 -1.290 '1950-03-01 01:32:40'
4    -623376000 -1.061 '1950-04-01 01:32:40'
5    -620784000 -1.416 '1950-05-01 01:32:40'
6    -618105600 1.372 '1950-06-01 01:32:40'
7    -615513600 1.334 '1950-07-01 01:32:40'
8    -612835200 1.050 '1950-08-01 01:32:40'
9    -610156800 0.578 '1950-09-01 01:32:40'
10   -607564800 0.395 '1950-10-01 01:32:40'", header=TRUE)

# create date class and tag for y being pos / negative
d2$date <- as.POSIXct(d2$date)
d2$tag <- d2$y < 0

library(ggplot2)  

ggplot(d2,aes(x = date, y = y, fill=tag)) + 
                      geom_area() + 
                      scale_y_continuous(name = "MEI")+
                      scale_x_datetime(expand=c(0,0))