View source: R/gjamHfunctions.R
gjamFillMissingTimes | R Documentation |
Fills in predictor, response, and effort matrics for time series data where there are multiple multivariate time series. Time series gjam is here https://htmlpreview.github.io/?https://github.com/jimclarkatduke/gjam/blob/master/gjamTimeMsVignette.html
gjamFillMissingTimes(xdata, ydata, edata, groupCol, timeCol, groupVars = groupCol, FILLMEANS = FALSE, typeNames = NULL, missingEffort = .1)
xdata |
|
ydata |
|
edata |
|
groupCol |
column name in |
timeCol |
column name in |
groupVars |
|
FILLMEANS |
fill new rows in |
typeNames |
typenames current limited to |
missingEffort |
effort assigned to missing values of |
Missing times in the data occur where there are gaps in timeCol
column of xdata
and the initial time 0
for each sequence. New versions of the data have NA
(xdata
) or prior values with appropriate weight (ydata
). Missing times are filled in xdata, ydata, edata
, including a time 0
which serves as a prior mean for ydata
for time code1. The group and time indices in columns groupCol
and timeCol
of xdata
reference the time for a given time series. Missing values in the columns groupVars
of xdata
are filled automatically filled in. This assumes that values for these variables are fixed for the group. If FILLMEANS
, the missing values in ydata
are filled with means for the group and given a low weight specified in missingEffort
.
A list containing the following:
xdata |
filled version of |
ydata |
filled version of |
edata |
filled version of |
timeList |
time indices used for computation, including, |
James S Clark, jimclark@duke.edu
Clark, J. S., C. L. Scher, and M. Swift. 2020. The emergent interactions that govern biodiversity change. Proceedings of the National Academy of Sciences, 117, 17074-17083.
gjam
for more on xdata
, ydata
, and effort.
A more detailed vignette is can be obtained with:
browseVignettes('gjam')
web site 'http://sites.nicholas.duke.edu/clarklab/code/'.
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