proxySmooth | R Documentation |
This function uses a Monte Carlo aproach to repetedly fit a smoothing model to some proxy data incorperating the model uncertanties in age
proxySmooth(
proxy,
proxySD = rep(0, length(proxy)),
agePredictOutput,
grid,
method = c("spline", "movingAverage"),
smoothParameter = 1,
probability = 0.95
)
proxy |
Vector proxy compostions. must be numeric |
proxySD |
optional vector of 1 sigma uncertanties for |
agePredictOutput |
Output from |
grid |
vector of positions to evaluate the smoothing model at |
method |
Smoothing method to use. currently supported methods are 'spline', 'movingAverage' and 'polynomial' |
smoothParameter |
parameter to use for smoothing. If method = 'spline' |
probability |
desired probability interval to return. Must be between 0 and 1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.