Read in the data, aggregate it by month and
then turn it into a monthly zoo object and plot
using a custom X axis:
Lines <- 'dos,variable1,variable2
May-06,1,""
May-06,2,""
June-06,"",2
June-06,1,4
July-06,1,4
July-06,1,4
August-06,1,4
August-06,1,4'
DF <- read.table(textConnection(Lines), header = TRUE, sep = ",")
library(zoo)
DF.na <- aggregate(DF[-1], DF["dos"], function(x) mean(is.na(x)))
z <- zoo(as.matrix(DF.na[-1]), as.yearmon(DF.na$dos, "%B-%y"))
i <- 1
plot(z[,i], xaxt = "n", ylab = "Fraction Missing", main = names(DF)[i+1])
axis(1, time(z), format(time(z), "%m/%y"), cex.axis = .7)
On Tue, Mar 24, 2009 at 2:58 AM, Shreyasee <shreyasee.prad...@gmail.com> wrote:
> Hi,
>
> I have a dataset in which there are in all 250 variables and for each
> variable the data is entered over the months.
> I need to calculate the percentage of missing values for each variable over
> each month and then plot a graph for that.
> I am running the following code for doing the same
>
> *ds <- read.csv(file="filepath", header=TRUE)
> attach(ds)
> may <- length(variable1[variable1==""]) / length(dos[dos=="May-06"]) * 100
> jun <- length(variable1[variable1==""]) / length(dos[dos=="June-06"]) * 100
> .
> .
> .
> var1 <- c(may, jun, ...........)
> x <- seq(as.Date("2006-01-01"), as.Date("2007-03-31"), by="months")
> plot(var1~x)*
>
> So likewise I am calculating the percentage of missing values for each
> variable for each month using different variables and storing the values in
> those variables and then combining those variables in one object for
> plotting the graph.
> I need to know, whether can I combine all the variables from that dataset in
> one object and calculate the missing values percentage over months together,
> instead of creating different variables for each month and then combining
> them.
> Also, after doing that, I need to plot the graph for each variable and
> combine it in a single pdf file.
>
> I highly appreciate all your help.
>
> Thanks,
> Shreyasee
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
