ag.quantilemean.ds: Generates quantiles and mean information without maximum and...
In datashield/ag.dev.sv: ag.dev.sv
Description
Usage
Arguments
Value
Author(s)
Examples
Description
the probabilities 5
the mean are used to compute the corresponding quantiles
Usage
1
ag.quantilemean.ds(xvect)
Arguments
xvect
a numerical vector
Value
a numeric vector that represents the sample quantiles
Author(s)
Burton, P.; Gaye, A.
Examples
1
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10
## Not run:
# load the file that contains the login details
data(logindata)
opals <- ag.ds.login(logins=logindata,assign=TRUE,variables=myvar)
# compute the sample quantiles that correspond to the probabilities specified internally
quantiles <- datashield.aggregate(opals, quote(ag.quantilemean.ds(D$LAB_TSC)))
## End(Not run)
datashield/ag.dev.sv documentation built on May 14, 2019, 7:46 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
the probabilities 5 the mean are used to compute the corresponding quantiles
Usage
1 | ag.quantilemean.ds(xvect)
|
Arguments
xvect |
a numerical vector |
Value
a numeric vector that represents the sample quantiles
Author(s)
Burton, P.; Gaye, A.
Examples
1 2 3 4 5 6 7 8 9 10 | ## Not run:
# load the file that contains the login details
data(logindata)
opals <- ag.ds.login(logins=logindata,assign=TRUE,variables=myvar)
# compute the sample quantiles that correspond to the probabilities specified internally
quantiles <- datashield.aggregate(opals, quote(ag.quantilemean.ds(D$LAB_TSC)))
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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