trend_months: Visualize price tendencies in months
In caesar0301/ppai: Analyze Paipai data of Shanghai
Description
Usage
Arguments
Value
Description
The delta price (real - warnning) of each month is plot, which helps to
compare the global tendency of price increment during last one or two minutes.
Usage
1
trend_months(years = 2016:2016, months = 1:6, min_lag = 0, max_lag = 60)
Arguments
years
a vector of years to plot
months
a vector of months to plot
min_lag
the minimum time lag comparing to 11:29:00, which is for reading briefness.
max_lag
the maximum time lag comparing to 11:29:00.
Value
a gglot2 instance
caesar0301/ppai documentation built on May 13, 2019, 10:38 a.m.
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Description Usage Arguments Value
Description
The delta price (real - warnning) of each month is plot, which helps to compare the global tendency of price increment during last one or two minutes.
Usage
1 | trend_months(years = 2016:2016, months = 1:6, min_lag = 0, max_lag = 60)
|
Arguments
years |
a vector of years to plot |
months |
a vector of months to plot |
min_lag |
the minimum time lag comparing to 11:29:00, which is for reading briefness. |
max_lag |
the maximum time lag comparing to 11:29:00. |
Value
a gglot2 instance
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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