Displaying 5 results from an estimated 5 matches for "tableplot".
2009 Aug 17
1
help simplifying complex graphic arguments to a function
I'm working on a package to produce graphic displays of 2- and 3-way tables
and need some help/advice on how to simplify the specification of a complex
argument that gives the drawing details for each cell of the table.
Prototypes of two functions, 'tableplot' and 'cellgram' are given below.
The essential idea is that for a given table ('values'), the cells can be
be of different 'types' (integers: 1, 2, ..., max(types)). An argument
'patterns' is a list of max(types) lists, where patterns[[k]] is presently
a list o...
2010 Nov 05
3
table with values as dots in increasing sizes
I was just thinking of a way to present data and if it is possible in R.
I have a data frame that looks as follows (this is just mockup data).
df
location,"species1","species2","species3","species4","species5"
"loc1",0.44,0.28,0.37,-0.24,0.41
"loc2",0.54,0.62,0.34,0.52,0.71
"loc3",-0.33,0.75,-0.34,0.48,0.61
location
2011 Apr 18
1
Print out data frames into neat images
Hi Group,
I often need to print out data frames with results of analysis into a
neat little image to copy and paste into documents. I need apply
formatting like bold, currency signs, number formats, header shading
etc.
I currently output the data into csv and format using good old excel.
Any suggestions if there are packages to help with such activities (to
some level of basic functionality).
I
2011 Jun 02
1
Plotting Data Table
Hi all,
So my question is pretty simple, but unfortunately I have not been able to
find a good answer after extensive google searches.
I am trying to plot an "attractive" data table in R, such as:
http://t2.gstatic.com/images?q=tbn:ANd9GcRjfTbTEUWlnb73wtUkY1mbQblWA-2EKEgvTLXGzkqUSpH4mWrk
Such data tables are easily done in Excel, but I am trying to automate the
entire process in R.
2010 Nov 11
1
exploratory analysis of large categorical datasets
Dear List,
I am looking to perform exploratory analyses of two (relatively) large
datasets of categorical data. The first one is a binary 80x100 matrix, in
the form:
matrix(sample(c(0,1),25,replace=TRUE), nrow = 5, ncol=5, dimnames = list(c(
"group1", "group2","group3", "group4","group5"), c("V.1", "V.2", "V.3",