amsImport
Import an Object into the AMS
Description
Creates a new project in the AMS and imports a R object into it.
Usage
amsImport(x, projectName, path=NULL, comment="import object",
projDescription="Project Description", objDescription=NULL,
url, apiToken, port = 2185)
Arguments
| x |
a R object or a packed R object to import as an artifact into
the projectName project.
|
| projectName |
a character value, the name for the new project.
|
| path |
a character string, the path name to use for the artifact in AMS.
The default is the name of the object provided as x.
This value is ignored if x is already a packed object.
|
| comment |
a character string, a comment for the project.
This value is ignored if x is already a packed object.
|
| projDescription |
a character string, a description for the project.
This value is ignored if x is already a packed object.
|
| objDescription |
a character string describing the object.
The default is to use the call component of x if it exists.
This value is ignored if x is already a packed object.
|
| url |
the url for the AMS.
The default is the cached value saved when amsLogin was called.
|
| apiToken |
a character value, the API token to connect to the AMS.
The default is cached value created when amsLogin was called.
|
| port |
an numeric value, the port for connecting to the AMS.
The default is cached value saved when amsLogin was called.
|
Details
A warning will be issued if the return status is not 200 (success).
Value
a list with components:
| body |
a character vector with the body of the results from the connection to the AMS.
This is in JSON format.
|
| status |
an integer return code from the connection to the AMS.
A value of 200 indicates a successful operation.
|
| headers |
a character vector containing the headers returned
from the connection to the AMS.
|
Note
R objects are converted to a base64 encoded string by
amsPackObject before being uploaded to the AMS.
See Also
amsPackArtifact
Examples
## Not run:
amsLogin("http://localhost", "fakeuser", "fakepassword")
# Create a project called "FuelProject" and add a linear model:
fuel_lm01 <- lm(Fuel ~ Weight + Disp., data=Sdatasets::fuel.frame)
zimport <- amsImport(fuel_lm01, "FuelProject")
## End(Not run)