Description Usage Arguments Value Author(s) See Also Examples
The function takes input of a list of va object and produces a summary plot for the population distribution.
1 2 
va 
The list of va object to summarize. 
top.aggregate 
Integer indicating how many causes from the top need to go into
summary. The rest of the probabilities goes into an extra category
"Undetermined". When set to NULL, default is all causes to be considered.
This is only used when 
InterVA.rule 
If it is set to "TRUE", only the top 3 causes reported by InterVA4 is calculated into CSMF as in InterVA4. The rest of probabilities goes into an extra category "Undetermined". Default set to "FALSE". 
noplot 
A logical value indicating whether the plot will be shown. If it is set to "TRUE", only the CSMF will be returned. 
type 
An indicator of the type of chart to plot. "pie" for pie chart; "bar" for bar chart. 
top.plot 
the maximum number of causes to plot in bar plot 
min.prob 
The minimum probability that is to be plotted in bar chart, or to be labeled in pie chart. 
... 
Arguments to be passed to/from graphic function

dist.cod 
The population probability of CODs. 
Zehang LI, Tyler McCormick, Sam Clark
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29  data(SampleInput)
sample.output < InterVA(SampleInput, HIV = "h", Malaria = "v", write=FALSE)
## Get CSMF without plots
population.summary < CSMF(sample.output$VA, noplot = TRUE)
## Get CSMF by considering only top 3 causes for each death.
population.summary < CSMF(sample.output$VA, top.aggregate = 3, noplot = TRUE)
## Get CSMF by considering only top 3 causes reported by InterVA.
## This is equivalent to using CSMF.interVA4() command Note that
## it's different from using all top 3 causses, since they may not
## all be reported
CSMF.summary < CSMF(sample.output, InterVA.rule = TRUE,
noplot = TRUE)
## Population level summary using pie chart
CSMF.summary2 < CSMF(sample.output, type = "pie",
min.prob = 0.01, main = "population COD distribution using pie chart",
clockwise = FALSE, radius = 0.7, cex = 0.7, cex.main = 0.8)
## Population level summary using bar chart
CSMF.summary3 < CSMF(sample.output, type = "bar",
min.prob = 0.01, main = "population COD distribution using bar chart",
cex.main = 1)
CSMF.summary4 < CSMF(sample.output, type = "bar",
top.plot = 5, main = "Top 5 population COD distribution",
cex.main = 1)

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.