Time Series
These are the available functions for time series. See each function's help topic in the TERR Language Reference for more information.
Function name | Title description |
---|---|
acf
|
Auto- and Cross- Covariance or Correlation Estimation |
aggregate
|
Compute Summary Statistics of Subsets of Data |
aggregate.default
|
Compute Summary Statistics of Subsets of Data |
aggregate.formula
|
Compute Summary Statistics of Subsets of Data |
aggregate.ts
|
Compute Summary Statistics of Subsets of Data |
ar
|
Fit Autoregressive Models to Time Series |
ar.yw
|
Fit Autoregressive Models to Time Series |
arima
|
ARIMA modeling of Time Series |
arima.sim
|
Simulate a Univariate ARIMA Series |
as.ts
|
Time Series Objects |
Box.test
|
Box-Pierce and Ljung-Box Tests |
cbind.ts
|
Union and Intersection of Time Series |
ccf
|
Auto- and Cross- Covariance or Correlation Estimation |
coef.Arima2
|
ARIMA modeling of Time Series |
cycle
|
Create Time Vector or Index of Frequency |
cycle.default
|
Create Time Vector or Index of Frequency |
decompose
|
Classical Seasonal Decomposition by Moving Averages |
diff
|
Create an Object of Differences |
diff.Date
|
Create an Object of Differences |
diff.default
|
Create an Object of Differences |
diff.POSIXt
|
Create an Object of Differences |
diff.ts
|
Create an Object of Differences |
diffinv
|
Discrete Integration: inverse of diff |
diffinv.default
|
Discrete Integration: inverse of diff |
diffinv.ts
|
Discrete Integration: inverse of diff |
fft
|
Fast Fourier Transform |
filter
|
Apply a Filter to a Time Series |
HoltWinters
|
Holt-Winters Filtering |
is.mts
|
Time Series Objects |
is.ts
|
Time Series Objects |
lag
|
Create a Lagged Time Series |
mvfft
|
Fast Fourier Transform |
na.contiguous
|
Find Longest Contiguous Stretch of non-NAs |
na.contiguous.default
|
Find Longest Contiguous Stretch of non-NAs |
na.contiguous.ts
|
Find Longest Contiguous Stretch of non-NAs |
pacf
|
Auto- and Cross- Covariance or Correlation Estimation |
predict.ar
|
Fit Autoregressive Models to Time Series |
predict.HoltWinters
|
Holt-Winters Filtering |
print.ar
|
Fit Autoregressive Models to Time Series |
print.Arima2
|
ARIMA modeling of Time Series |
print.HoltWinters
|
Holt-Winters Filtering |
print.ts
|
Print a Time Series |
residuals.HoltWinters
|
Holt-Winters Filtering |
time
|
Create Time Vector or Index of Frequency |
time.default
|
Create Time Vector or Index of Frequency |
ts
|
Time Series Objects |
ts.intersect
|
Union and Intersection of Time Series |
ts.union
|
Union and Intersection of Time Series |
vcov.Arima2
|
ARIMA modeling of Time Series |
window
|
Window a Time Series |
window.default
|
Window a Time Series |
window.ts
|
Window a Time Series |
window<-
|
Window a Time Series |
window<-.ts
|
Window a Time Series |
Parent topic: Statistics
Related reference
- Clustering
- Computations Related to Plotting (Statistics)
- Curve (and Surface) Smoothing
- Designed Experiments
- Loess Objects
- Multivariate Techniques
- Non-Linear Regression
- Nonparametric Statistics
- Probability Distributions and Random Numbers
- Regression
- Regression and Classification Trees
- Robust and Resistant Techniques
- Simple Univariate Statistics
- Statistical Inference
- Statistical Models