createTwitterTimeSeries: createTwitterTimeSeries
In ProjectTw/TwitteR2Mongo: Stream Tweets form Twitter-API to MongoDB based on trend detection
Description
Usage
Arguments
Value
Examples
Description
Creates a time series of hashtags found in the given time interval.
The time series gets cleaned by cleanTwitterTimeline() and ordered
in decreasing fashion with respect to the last column.
Usage
1
createTwitterTimeSeries(mongo, interval, intervalsteps)
Arguments
mongo
mongo instance to use
interval
timeinterval
intervalsteps
number of parts to divide the interval into
Value
dataframe
Examples
1
2
#timeseries <-
# createTwitterTimeSeries(hometimeline,c("2015-12-15 00:00:01","2015-12-17 14:59:59"),3)
ProjectTw/TwitteR2Mongo documentation built on May 8, 2019, 3:44 a.m.
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Description Usage Arguments Value Examples
Description
Creates a time series of hashtags found in the given time interval. The time series gets cleaned by cleanTwitterTimeline() and ordered in decreasing fashion with respect to the last column.
Usage
1 | createTwitterTimeSeries(mongo, interval, intervalsteps)
|
Arguments
mongo |
mongo instance to use |
interval |
timeinterval |
intervalsteps |
number of parts to divide the interval into |
Value
dataframe
Examples
1 2 | #timeseries <-
# createTwitterTimeSeries(hometimeline,c("2015-12-15 00:00:01","2015-12-17 14:59:59"),3)
|
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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