fillCols: Fill missing values in data set (or matrix) columns for which...
In NMML/crawl: Fit Continuous-Time Correlated Random Walk Models to Animal Movement Data
fillCols R Documentation
Fill missing values in data set (or matrix) columns for which there is a
single unique value
Description
Looks for columns in a data set that have a single unique non-missing value
and fills in all NA with that value
Usage
fillCols(data)
Arguments
data
data.frame
Value
data.frame
Author(s)
Devin S. Johnson
Examples
#library(crawl)
data1 <- data.frame(constVals=rep(c(1,NA),5), vals=1:10)
data1[5,2] <- NA
data1
data2 <- fillCols(data1)
data2
mat1 <- matrix(c(rep(c(1,NA),5), 1:10), ncol=2)
mat1[5,2] <- NA
mat1
mat2 <- fillCols(mat1)
mat2
NMML/crawl documentation built on Nov. 1, 2022, 5:27 p.m.
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| fillCols | R Documentation |
Fill missing values in data set (or matrix) columns for which there is a single unique value
Description
Looks for columns in a data set that have a single unique non-missing value
and fills in all NA with that value
Usage
fillCols(data)
Arguments
data |
data.frame |
Value
data.frame
Author(s)
Devin S. Johnson
Examples
#library(crawl) data1 <- data.frame(constVals=rep(c(1,NA),5), vals=1:10) data1[5,2] <- NA data1 data2 <- fillCols(data1) data2 mat1 <- matrix(c(rep(c(1,NA),5), 1:10), ncol=2) mat1[5,2] <- NA mat1 mat2 <- fillCols(mat1) mat2
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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