Plotting Moving Average

[tacampbell]

I am trying to calculate the moving average of some time series data. I would like to calculate the moving average every 9 years, for the variable phosphorus yield. My code is below, and the error I am receiving is as follows:
Error: Aesthetics must be either length 1 or the same as the data (4080): x, y

P_yiled_m<-rollmean(P_yield_time$P_Yield, 9)
Year_m<-rollmean(P_yield_time$Year, 9)
Ptime = ggplot(P_yield_time, aes(x=Year_m, y=Moving, color=as.factor(Nutrient_Management))) + facet_wrap(~Climate+as.factor(Perennial_Cover))+
  geom_line()+
  theme(panel.background = element_rect(fill = "white", colour = "grey50"),
        axis.text=element_text(size=12, color = "black"),
        axis.title=element_text(size = 12),
        panel.grid.major = element_blank(), 
        panel.grid.minor = element_blank())+
  xlab("Year") + ylab("Phosphorus Yield [kg/ha?]") + 
  scale_color_manual(values=c('#edf8e9','#bae4b3','#74c476','#238b45'))+
  xlim(2010,2065)
Ptime

Thanks!

[nirgrahamuk]

Hello,
Can you provide a reprex of your issue ? This would make it easier to help you.

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[FJCC]

I suspect that the object Year_m has a shorter length than the number of rows in your data frame. Use

length(Year_m)
nrow(P_yield_time)

to check that.
If that does not help, a reprex, as suggested, would be very helpful.