In each of the examples below, the data frame is created with three columns, namely, ‘name’, ‘rating’, ‘relyear’. It represents moview names, ratings, and the release year.
# Command data.frame is used
df1 <- data.frame(name="", rating="", relyear="", stringsAsFactors=FALSE)
# Command data.frame is used
df2 <- data.frame(name=character(), rating=character(), relyear=character(), stringsAsFactors=FALSE)
# Usage of read.table command to create empty data frame
df3 <- read.table(text = "",
colClasses = c("character", "character", "character"),
col.names = c("name", "rating", "relyear"))
# Usage of read.csv command to create empty data frame
df4 <- read.csv(text="name, rating, relyear")
# Command data.frame is used
df5 = data.frame(matrix(vector(), 0, 3, dimnames=list(c(), c("name", "rating", "relyear"))), stringsAsFactors=FALSE)
You could test the above by assigning a row to the created data frame. Following is the related code sample to assign a row to the empty data frame.
df1[1,] <- c("Furious 7", "5", "2015")
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