warna: warna
R: warna
warnaR Documentation
warna
R: warna
warnaR Documentation
warna
R: Exponential Moving Average (EMA)
emaR Documentation
Exponential Moving Average (EMA)
R: Exponential moving average filter (EMA)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Ecological Momentary Assessment (EMA) Data
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Add Exponentially-Weighted Moving Average (EMA) to the chart
const macros = { "\\R": "\\textsf{R}", "\\code
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
method that produces scatter plots of predicted vs observed measurements for the training set.
Value
Function WA returns
R: EMA - Easy Microarray Analysis
EMA-packageR Documentation
EMA - Easy Microarray Analysis
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Package: EMA
Type: Package
Title: Easy Microarray Data Analysis
moving average aka EMA is exponentially weighted SMA. EMAs have faster response to recent value changes than SMAs.
Usage
Description
This function can perform the Epigenome-Wide Mediation Analysis Study (EMAS).
Usage
R: Exponential Moving Average
emaR Documentation
Exponential Moving Average
the exponential moving average
Description
EMA creates a streaming algorithm that can be used to
Package: kitchen
Type: Package
Title: Convolutional Kitchen Sinks in R
of Washington.
Usage
data("WA")
mod <- wa(SumSST ~., data = ImbrieKipp)
## extract the fitted values
fitted(mod)
ema(x, n)
Arguments
a numeric vector
the exponential moving average
Description
EMA creates a streaming algorithm that can be used to
] + (1-alpha) * y[i-1]
Usage
ema(x, alpha, miss = "reset")
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