I have data that looks like this. In which I want to plot accumulative value of dat1 with respect to x-axis. Also plot it together with dat2.
#x-axis dat1 dat2
-10 0.0140149 0.0140146
-9 0.00890835 0.00891768
-8 0.00672276 0.00672488
-7 0.00876399 0.00879401
-6 0.00806879 0.00808141
-5 0.0088366 0.00885121
-4 0.00856872 0.00857769
-3 0.0195384 0.0196094
-2 0.0160239 0.0161829
-1 0.0254455 0.0257845
0 0.0397413 0.0400913
1 0.0743316 0.0755453
2 0.0247501 0.0253324
3 0.0214285 0.021778
4 0.0241462 0.0244967
5 0.0150943 0.015241
6 0.0141398 0.0142373
7 0.0101515 0.0102948
8 0.0308843 0.031294
9 0.0095504 0.00960626
10 0.00729676 0.0073713
What's the common way to do it in R?
I looked at ECDF from Hmisc, it doesn't seem to do what I want. In particular it doesn't allow us to give x-axis value.
PetroWiki. A graph the horizontal axis of which is a variable X and the vertical axis of which ranges from 0 to 1. There are two types: ascending and descending. In an ascending CDF, a point (x, y) indicates that the probability that X is less than or equal to x is y.
Plot cumulative distribution function in base R To plot a CDF function in base R, we first calculate the CDF by using the ecdf() function. Then we use the plot() function to plot the CDF plot in the R Language. The plot function takes the result of the ecdf() function as an argument to plot the CDF plot.
I think the function you are looking for is cumsum()
which will do a cumulative sum on a vector.
#put your data into 3 vectors
x<-c(-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10)
dat1<-c(0.0140149,0.00890835,0.00672276,0.00876399,0.00806879,0.0088366,0.00856872,0.0195384,0.0160239,0.0254455,0.0397413,0.0743316,0.0247501,0.0214285,0.0241462,0.0150943,0.0141398,0.0101515,0.0308843,0.0095504,0.00729676)
dat2<-c(0.014015,0.008918,0.006725,0.008794,0.008081,0.008851,0.008578,0.019609,0.016183,0.025785,0.040091,0.075545,0.025332,0.021778,0.024497,0.015241,0.014237,0.010295,0.031294,0.009606,0.007371)
#create a new vector called cdat1 to hold the cumulative sum
cdat1<-cumsum(dat1)
plot(x,cdat1)
points(x,dat2,col="red")
I use the function points above in order to add dat2 to the existing plot. Run this in R and see if it gives you what you need.
If you have that data in a text file (e.g. data.txt) you can also do the following:
A <- read.table("data.txt",header=TRUE)
attach(A)
plot(x.axis, cumsum(dat1))
points(x.axis, cumsum(dat2), col='red')
As JD Long said, the cumsum function is what you were looking for.
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