View source: R/ds.densityGrid.R
ds.densityGrid | R Documentation |
This function generates a grid density object which can then be used to produced heatmap or contour plots.
ds.densityGrid(
x = NULL,
y = NULL,
numints = 20,
type = "combine",
datasources = NULL
)
x |
a character string providing the name of the input numerical vector. |
y |
a character string providing the name of the input numerical vector. |
numints |
an integer, the number of intervals for the grid density object. The default value is 20. |
type |
a character string that represents the type of graph to display.
If |
datasources |
a list of |
The cells with a count > 0 and < nfilter.tab are considered invalid and the count is set to 0.
In DataSHIELD the user does not have access to the micro-data so and extreme values
such as the maximum and the minimum are potentially non-disclosive so this function does not allow
for the user to set the limits of the density grid and
the minimum and maximum values of the x
and y
vectors. These elements are set by the server-side function
densityGridDS
to 'valid' values
(i.e. values that do not lead to leakage of micro-data to the user).
Server function called: densityGridDS
ds.densityGrid
returns a grid density matrix.
DataSHIELD Development Team
## Not run:
## Version 6, for version 5 see the Wiki
# Connecting to the Opal servers
require('DSI')
require('DSOpal')
require('dsBaseClient')
builder <- DSI::newDSLoginBuilder()
builder$append(server = "study1",
url = "http://192.168.56.100:8080/",
user = "administrator", password = "datashield_test&",
table = "CNSIM.CNSIM1", driver = "OpalDriver")
builder$append(server = "study2",
url = "http://192.168.56.100:8080/",
user = "administrator", password = "datashield_test&",
table = "CNSIM.CNSIM2", driver = "OpalDriver")
builder$append(server = "study3",
url = "http://192.168.56.100:8080/",
user = "administrator", password = "datashield_test&",
table = "CNSIM.CNSIM3", driver = "OpalDriver")
logindata <- builder$build()
# Log onto the remote Opal training servers
connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
#Generate the density grid
# Example1: generate a combined grid density object (default)
ds.densityGrid(x="D$LAB_TSC",
y="D$LAB_HDL",
datasources = connections)#all opal servers are used
# Example2: generate a grid density object for each study separately
ds.densityGrid(x="D$LAB_TSC",
y="D$LAB_HDL",
type="split"
datasources = connections[1])#only the first Opal server is used ("study1")
# Example3: generate a grid density object where the number of intervals is set to 15, for
each study separately
ds.densityGrid(x="D$LAB_TSC",
y="D$LAB_HDL",
type="split",
numints=15,
datasources = connections)
# clear the Datashield R sessions and logout
datashield.logout(connections)
## End(Not run)
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