ds.abs | R Documentation |
Computes the absolute values for a specified numeric or integer vector.
This function is similar to R function abs
.
ds.abs(x = NULL, newobj = NULL, datasources = NULL)
x |
a character string providing the name of a numeric or an integer vector. |
newobj |
a character string that provides the name for the output variable
that is stored on the data servers. Default name is set to |
datasources |
a list of |
The function calls the server-side function absDS
that computes the
absolute values of the elements of a numeric or integer vector and assigns a new vector
with those absolute values on the server-side. The name of the new generated vector is
specified by the user through the argument newobj
, otherwise is named by default to
abs.newobj
.
ds.abs
assigns a vector for each study that includes the absolute values of
the input numeric or integer vector specified in the argument x
. The created vectors
are stored in the servers.
Demetris Avraam for DataSHIELD Development Team
## Not run: # 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") # Example 1: Generate a normally distributed variable with zero mean and variance equal # to one and then get their absolute values ds.rNorm(samp.size=100, mean=0, sd=1, newobj='var.norm', datasources=connections) # check the quantiles ds.summary(x='var.norm', datasources=connections) ds.abs(x='var.norm', newobj='var.norm.abs', datasources=connections) # check now the changes in the quantiles ds.summary(x='var.norm.abs', datasources=connections) # Example 2: Generate a sequence of negative integer numbers from -200 to -100 # and then get their absolute values ds.seq(FROM.value.char = '-200', TO.value.char = '-100', BY.value.char = '1', newobj='negative.integers', datasources=connections) # check the quantiles ds.summary(x='negative.integers', datasources=connections) ds.abs(x='negative.integers', newobj='positive.integers', datasources=connections) # check now the changes in the quantiles ds.summary(x='positive.integers', datasources=connections) # clear the Datashield R sessions and logout datashield.logout(connections) ## End(Not run)
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