For analysis of this data I started using the steps as explained here. However, I was unused to the windows interfadce and could not locate the command history window. Doing some research to find the solution I came across an interesting GUI for R called R commander. It offer a variety of the analysis tools in drop down list form to from the commands that are then used as command lines. This helps beginners like myself to get quicker results and also helps me to see what can be done in R.
Being a lover of 3d representations, plotting my data in 3d is one of the first things that I tried.
Importing the .csv data:
Name the dataset, ensure that "commas" is selected and the correct decimal -point character
On the tpop of the interface the active dataset is now displayed and one can view the data or edit the data directly in cells as in a spreadheet which is very useful.
One the dataset is active any of the manipulations from the above menus can be carried out. My selection: "3D Scatterplot"
I selected DBH as response variable and the x and y coordinates of the tree positions as explanatory variable and I wanted to see the smooth regression. The result, a nice representation of the spatial distribution of tree size:
Saving the graph to file is an option in the R Commander GUI in the "Graphs" menu.
Now to get some kind of equation for this regression.... Modeeling in R using R Commander
