Func-methods | R Documentation |
db.obj
objects as the
argumentFunctions that apply onto
db.obj
objects
## S4 method for signature 'db.obj'
exp(x)
## S4 method for signature 'db.obj'
abs(x)
## S4 method for signature 'db.obj'
log(x, ...)
## S4 method for signature 'db.obj'
log10(x)
## S4 method for signature 'db.obj'
sign(x)
## S4 method for signature 'db.obj'
sqrt(x)
## S4 method for signature 'db.obj'
factorial(x)
## S4 method for signature 'db.obj'
sin(x)
## S4 method for signature 'db.obj'
cos(x)
## S4 method for signature 'db.obj'
tan(x)
## S4 method for signature 'db.obj'
asin(x)
## S4 method for signature 'db.obj'
acos(x)
## S4 method for signature 'db.obj'
atan(x)
## S4 method for signature 'db.obj,db.obj'
atan2(y, x)
## S4 method for signature 'db.obj,numeric'
atan2(y, x)
## S4 method for signature 'numeric,db.obj'
atan2(y, x)
x,y |
|
... |
Extra parameters. Not implemented. |
db.Rquery
object, which contains the SQL query
that computes the operations.
A meaningful expression is generated only when the
.col.data_type
is "numeric", otherwise a "NULL" value is
generated.
Author: Predictive Analytics Team at Pivotal Inc.
Maintainer: Frank McQuillan, Pivotal Inc. fmcquillan@pivotal.io
db.Rquery
contains a SQL query that does the
operations.
## Not run:
## get the help for a method
## help("+,db.obj,db.obj-method")
## set up the database connection
## Assume that .port is port number and .dbname is the database name
cid <- db.connect(port = .port, dbname = .dbname)
## create a table from the example data.frame "abalone"
delete("abalone", conn.id = cid)
x <- as.db.data.frame(abalone, "abalone", conn.id = cid)
x$rings <- exp(x$rings) # change the values
x$area <- log((x$length + 1) * (x$height + 1)) # add a new column
lk(x$area, 10) # view the actual values computed in database
db.disconnect(cid, verbose = FALSE)
## End(Not run)
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