merge_duplicate: Merge Data Frames with Duplicated Column Names

In IOBR: Immune Oncology Biological Research

Merge Data Frames with Duplicated Column Names

Description

Merges two data frames, resolving duplicated column names according to user preference. Allows selection of which data frame's duplicated columns to retain, ensuring data integrity during merging.

Usage

merge_duplicate(
  x,
  y,
  by.x,
  by.y,
  all.x = FALSE,
  all.y = FALSE,
  all = NULL,
  choose = c("x", "y")
)

Arguments

x	Data frame. First data frame to merge.
y	Data frame. Second data frame to merge.
by.x	Character. Column name(s) in 'x' used for merging.
by.y	Character. Column name(s) in 'y' used for merging.
all.x	Logical. Include all rows from 'x' in output. Default is 'FALSE'.
all.y	Logical. Include all rows from 'y' in output. Default is 'FALSE'.
all	Logical or 'NULL'. If not 'NULL', include all rows from both 'x' and 'y', overriding 'all.x' and 'all.y'.
choose	Character. Which data frame's duplicated non-joining columns to retain: '"x"' or '"y"'. Default is '"x"'.

Value

Data frame resulting from merging 'x' and 'y' according to specified parameters.

Examples

df1 <- data.frame(ID = 1:3, Name = c("A", "B", "C"), Value = 1:3)
df2 <- data.frame(ID = 1:3, Name = c("X", "Y", "Z"), Score = 4:6)

# Merge keeping duplicated columns from x
merged_df <- merge_duplicate(df1, df2,
  by.x = "ID", by.y = "ID",
  all.x = TRUE, choose = "x"
)
print(merged_df)

# Merge keeping duplicated columns from y
merged_df2 <- merge_duplicate(df1, df2,
  by.x = "ID", by.y = "ID",
  all = TRUE, choose = "y"
)

IOBR documentation built on May 30, 2026, 5:07 p.m.