write.table(image, "~/mydata/blablabla/data.txt", col.names=F, row.names=F)
or csv:
write.csv (image, "~/mydata/blablabla/data.csv")
both cases the output is an empty file. Do you know what can be the
problem?
Thanks a lot,
Moreno
write.csv (image,
"/afs/inf.ed.ac.uk/user/s07/s0788806/R/r_data/ProdEyeTrack/DataFrame/Clustered/Clut/Cluster1/Cl1Verb-tr.csv.1")
Quoting Uwe Ligges <ligges at statistik.tu-dortmund.de>:
Moreno Ignazio Coco wrote:
Hi everybody,
I am struggling to save txt. or csv. large sparse matrices (1024 X
768 image size), initialized at 0.1.
image1[0:10,0:10]
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[2,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[3,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[4,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[5,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[6,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[7,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[8,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[9,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
[10,] 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
with small distributions located at different points of matrix.
If I try the same matrix but initialized at 0, it can save it.
It seems that R manages to save up around 800 X 600 decimal matrices
but for bigger sizes the output is an empty file. Does anyone know
whether there is a limit in saving such matrices and how can I work
around this problem?
Please tell us what you did exactly when you got the empty file: