WebbPackage ‘PREDA’ March 8, 2024 Version 1.44.0 Title Position Related Data Analysis Author Francesco Ferrari Maintainer Francesco Ferrari Webb5 aug. 2024 · 1 Answer Sorted by: 2 Using the shift function, as pointed in comments by @Frank, the output, which you want can be obtained using : library (data.table) library (TTR) x<-c (4, 10, 7, 3, 9, 8) dt<- as.data.table (x) dt [, ':=' (mean = shift (runMean (x,3), 1), sd = shift (runSD (x,3), 1))] This will give :
r - Using rollmean when there are missing values (NA) - Stack …
http://brooksandrew.github.io/simpleblog/articles/advanced-data-table/ Webb24 aug. 2024 · Typically, you use an *apply() function (in base R) or one of the map_*() functions (tidyverse) to automate running the same function over a bunch of different inputs. The specifics of how you might do this depend a lot on how your data are arranged, however. Here's an example of what this might look like, but if your data are organized … heatcraft wiring schematic
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WebbR runmean -- WRS2 The runmean implements a running interval smoother on the trimmed mean, rungen uses general M-estimators, runmbo performs interval smoothing on M … WebbPart of R Language Collective Collective 9 I have a data set which has a couple of NA in it. I take a rolling mean and expect that when there is no NA in the window, the rolling mean should produce a number as opposed to NA, however, rollmeanr in zoo does not seem to ... Webb13 sep. 2012 · NA is a logical constant of length 1 which contains a missing value indicator. NA can be coerced to any other vector type except raw. There are also constants NA_integer_, NA_real_, NA_complex_ and NA_character_ of the other atomic vector types which support missing values: all of these are reserved words in the R language. mouth voice simulator