ds.corTest | R Documentation |
This is similar to the R stats function cor.test
.
ds.corTest(
x = NULL,
y = NULL,
method = "pearson",
exact = NULL,
conf.level = 0.95,
type = "split",
datasources = NULL
)
x |
a character string providing the name of a numerical vector. |
y |
a character string providing the name of a numerical vector. |
method |
a character string indicating which correlation coefficient is to be used for the test. One of "pearson", "kendall", or "spearman", can be abbreviated. Default is set to "pearson". |
exact |
a logical indicating whether an exact p-value should be computed. Used for
Kendall's tau and Spearman's rho. See ‘Details’ of R stats function |
conf.level |
confidence level for the returned confidence interval. Currently only used for the Pearson product moment correlation coefficient if there are at least 4 complete pairs of observations. Default is set to 0.95. |
type |
a character string that represents the type of analysis to carry out.
This must be set to |
datasources |
a list of |
Runs a two-sided correlation test between paired samples, using one of
Pearson's product moment correlation coefficient, Kendall's tau or Spearman's rho.
Server function called: corTestDS
ds.corTest
returns to the client-side the results of the correlation test.
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()
connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D")
# test for correlation
ds.corTest(x = "D$LAB_TSC",
y = "D$LAB_HDL",
datasources = connections[1]) #Only first server is used ("study1")
# Clear the Datashield R sessions and logout
datashield.logout(connections)
## End(Not run)
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