mergeAllXY: Merge list of data.frames retaining all rows

In jmw86069/jamba: Jam Base Methods

Merge list of data.frames retaining all rows

Description

Merge list of data.frames retaining all rows

Usage

mergeAllXY(...)

Arguments

...

arguments are handled as described: named arguments are passed through to base::merge.data.frame(), with the exception of all.x and all.y which are both defined all.x=TRUE and all.y=TRUE. and all other arguments are assumed to be data.frame or equivalent, and are merged in order they appear as arguments. The order of these data.frame objects should not affect the output content, but will affect the row and column order of the resulting data.frame.

Details

This function is a wrapper around base::merge.data.frame() except that it allows more than two data.frame objects, and applies default arguments all.x=TRUE and all.y=TRUE for each merge operation to ensure that all rows are kept.

Value

data.frame after iterative calls to base::merge.data.frame().

See Also

Other jam practical functions: breakDensity(), checkLightMode(), check_pkg_installed(), colNum2excelName(), color_dither(), diff_functions(), exp2signed(), fileInfo(), fixYellow(), getAxisLabel(), handleArgsText(), heads(), isFALSEV(), isTRUEV(), jamba, jargs(), kable_coloring(), lldf(), log2signed(), make_html_styles(), make_styles(), match_unique(), middle(), minorLogTicks(), newestFile(), printDebug(), renameColumn(), rmInfinite(), rmNAs(), rmNA(), rmNULL(), sclass(), sdim(), setPrompt()

Other jam list functions: cPasteSU(), cPasteS(), cPasteUnique(), cPasteU(), cPaste(), heads(), jam_rapply(), list2df(), mixedSorts(), rbindList(), relist_named(), rlengths(), sclass(), sdim(), uniques(), unnestList()

Examples

df1 <- data.frame(City=c("New York", "Los Angeles", "San Francisco"),
   State=c("New York", "California", "California"))
df2 <- data.frame(Team=c("Yankees", "Mets", "Giants", "Dodgers"),
   City=c("New York", "New York", "San Francisco", "Los Angeles"))
df3 <- data.frame(State=c("New York", "California"),
   `State Population`=c(39.24e9, 8.468e9),
   check.names=FALSE)
mergeAllXY(df1, df3, df2)

df4 <- data.frame(check.names=FALSE,
   CellLine=rep(c("ul3", "dH1A", "dH1B"), each=2),
   Treatment=c("Vehicle", "Dex"))
df4$CellLine <- factor(df4$CellLine,
   levels=c("ul3", "dH1A", "dH1B"))
df4$Treatment <- factor(df4$Treatment,
   levels=c("Vehicle", "Dex"))
df5 <- data.frame(
   Treatment=rep(c("Vehicle", "Dex"), each=3),
   Time=c("0h", "12h", "24h"))
df6 <- data.frame(check.names=FALSE,
   CellLine=c("ul3", "dH1A", "dH1B"),
   Type=c("Control", "KO", "KO"))
mergeAllXY(df4, df5, df6)

# note the factor order is maintained
mergeAllXY(df4, df5, df6)$CellLine
mergeAllXY(df4, df5)$Treatment

# merge "all" can append rows to a data.frame
df4b <- data.frame(check.names=FALSE,
   CellLine=rep("dH1C", 2),
   Treatment=c("Vehicle", "Dex"))
mergeAllXY(df4, df4b)

# factor order is maintained, new levels are appended
mergeAllXY(df4, df4b)$CellLine

# merge proceeds except shows missing data
mergeAllXY(df4, df4b, df5, df6)

# note that appending rows is tricky, the following is incorrect
df6b <- data.frame(check.names=FALSE,
   CellLine="dH1C",
   Type="KO")
mergeAllXY(df4, df4b, df5, df6, df6b)

# but it can be resolved by merging df6 and df6b
mergeAllXY(df4, df4b, df5, mergeAllXY(df6, df6b))

# it may be easier to recognize by sorting with mixedSortDF()
mixedSortDF(honorFactor=TRUE,
   mergeAllXY(df4, df4b, df5, mergeAllXY(df6, df6b)))

# again, factor order is maintained
mergeAllXY(df4, df4b, df5, sort=FALSE, mergeAllXY(df6, df6b))$CellLine

# the result can be sorted properly
mixedSortDF(honorFactor=TRUE,
   mergeAllXY(df4, df4b, df5, mergeAllXY(df6, df6b)))

jmw86069/jamba documentation built on March 26, 2024, 5:26 a.m.