yaImpute (version 1.0-32)

unionDataJoin: Combines data from several sources

Description

Takes any combination of several data frames or matrices and creates a new data frame. The rows are defined by a union of all row names in the arguments, and the columns are defined by a union of all column names in the arguments. The data are loaded into this new frame where column and row names match the individual inputs. Duplicates are tolerated with the last one specified being the one kept. NAs are returned for combinations of rows and columns where no data exist. Factors are processed as necessary.

Usage

unionDataJoin(...,warn=TRUE)

Value

A data frame.

Arguments

...

a list of data frames, matrices, or any combination.

warn

when TRUE, warn when a column name is found in more than one data source.

Author

Nicholas L. Crookston
Andrew O. Finley

Examples

require(yaImpute)

d1=data.frame(x1=c("a","b","c","d","e","f"))
d2=data.frame(x1=as.character(seq(1,4)),row.names=seq(5,8))
d3=data.frame(x2=seq(1:10))

# note the levels
levels(d1$x1)
# [1] "a" "b" "c" "d" "e" "f"

levels(d2$x1)
# [1] "1" "2" "3" "4"

all=unionDataJoin(d1,d2,d3,warn=FALSE)
all
#      x1 x2
# 1     a  1
# 2     b  2
# 3     c  3
# 4     d  4
# 5     1  5
# 6     2  6
# 7     3  7
# 8     4  8
# 9    9
# 10  10

levels(all$x1)
# [1] "1" "2" "3" "4" "a" "b" "c" "d"