search for: vrukol

Displaying 5 results from an estimated 5 matches for "vrukol".

2011 May 26
2
summing array elements
Hi to everybody I have an array with dimensions 2,4,3,3. Wanting to sum the matrices in the first two dimensions, I'm trying to use the "apply" function, but with no results. Have to say I'm quite new with R syntax. tx in advance marco [[alternative HTML version deleted]]
2012 Oct 14
1
plotting principal components on geographic map
Dear all, I have a dataset representing several geographical points (locations), each one having a specific value after performing a PCA. Now I'm trying to understand how to separately represent on a geographic map (of Europe) the pattern of PC1,2, ecc.with colors (e.g.heatmap) I have to add that the dataset includes relatively few points. Therefore, I would also like to interpolate the values
2012 Jan 16
0
smoothScatter on map
Hello everybody, I'm here with a question concerning obtaining a greographical map with a smmothed scatterplot overlaying the intersted regions. My data are a set of opints, represented by long, lat coordinates. As far as the map is concerned, a shp file of Europe without countries borders (only coastal outlines) with the limits at lat 35N-60N long 15W-30E. Until now, I was only able to
2013 Feb 27
1
best ordination method for binary variables
Dear all, I'm analyzing a dataset (A) of 400 cases with 11 binary variables. Unfortunately, several (actually a lot) of cases are identical. NA are also present. I want to to plot distances between cases. For this, I obtained a distance matrix by dist(A, method="binary"). I then analyzed the obtained distance via Principal coordinate analysis with cmdscale(). Results are fine.
2012 Dec 06
1
clustering of binary data
Good morning, I am analyzing a dataset composed by 364 subjects and 13 binary variables (0,1 = absence,presence). I am testing possible association (co-presence) of my variables. To do this, I was trying with cluster analysis. My main interest is to check for the significance of the obtained clusters. First, I tried with the pvclust() function, by using method.hclust="ward" and