Q:

how to plot a matrix as scatter plot in R?

I have a binary files that is 1440 columns*720 rows. I read it into R as a matrix in order to plot it as scatter plot, but I wonder why the resulting plot was something weird (I do not have enough rep to upload the plot).
conner <- file("D:\\complete.bin","rb")
corrs <- readBin(conner, numeric(), size=4,  n=1440*720, signed=TRUE)
y1 <- t(matrix((data=corrs), ncol=720, nrow=1440))
plot(y1)

so I want to convert the matrix to be:
(5,4,5,2,1,6,9,8,......................................)all values

and plot them as a scatter plot.
So how can we plot a matrix as scatter plot and not as an image?

A:

So you want to plot all the values in your matrix. You can do it like this:
y<-matrix(rnorm(25),5,5)
y
           [,1]       [,2]      [,3]       [,4]       [,5]
[1,]  1.8185601  0.6745425 0.5584071 -1.0631574 -0.6729403
[2,] -0.5075942  1.8931653 0.9951502 -1.0469745  0.3087902
[3,] -0.8855172 -0.5571970 0.8180533 -1.6210277  1.0537248
[4,]  0.2876082  0.1775348 1.2246795  0.7912057 -1.3986548
[5,] -0.2157624 -0.4067569 1.0355421 -0.7114979 -0.2311551

plot(c(y))

But in you case you already have a vector corrs so just use plot(corrs).

A:

I'm assuming corrs is an image of your precomputed scatterplot.
Try
image(matrix((data=corrs), ncol=720, nrow=1440))

or
library(fields)
image.plot(matrix((data=corrs), ncol=720, nrow=1440))

