ji.ds.heatmapplot: Generates a heatmap plot for merged datasets
In datashield/ji.dev.cl: ji.dev.cl

Description Usage Arguments Value Author(s) Examples

Generates a heatmap plot for merged datasets

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  ji.ds.heatmapplot(datasources = NULL, xvect = NULL,
    yvect = NULL, type = "combine", show = "all",
    numints = 20)

`datasources`	a list of opal object(s) obtained after login in to opal servers; these objects hold also the data assign to R, as `dataframe`, from opal datasources.
`xvect`	a numerical vector
`yvect`	a numerical vector
`type`	a character which represents the type of graph to display. If `type` is set to 'combine', a combined heatmap plot displayed and if `type` is set to 'split', each heatmap is plotted separately.
`show`	a character which represents where the plot should focus If `show` is set to 'all', the ranges of the variables are used as plot limits If `show` is set to 'zoomed', the plot is zoomed to the region where the actual data are
`numints`	a number of intervals for a density grid object

a heatmap plot

Isaeva, J. and Gaye, A.

{
# load the file that contains the login details
data(logindata)

# login and assign the required variables to R
myvar <- list("LAB_TSC","LAB_HDL")
opals <- datashield.login(logins=logindata,assign=TRUE,variables=myvar)

# Example1: generate a combined heatmapplot
ji.ds.heatmapplot(datasources=opals, quote(D$LAB_TSC), quote(D$LAB_HDL), type="combine")

# Example2: generate a heatmapplot where each study is plotted seaparately
ji.ds.heatmapplot(datasources=opals, quote(D$LAB_TSC), quote(D$LAB_HDL), type="split")

# Example3: generate a heatmapplot with a less dense drid
ji.ds.heatmapplot(datasources=opals, quote(D$LAB_TSC), quote(D$LAB_HDL), type="split", numints=15)
}