Converting Two Columns of a Data Frame to a Named Vector

Converting two columns of a data frame to a named vector

Use the names function:

whatyouwant <- as.character(dd$name)
names(whatyouwant) <- dd$crit

as.character is necessary, because data.frame and read.table turn characters into factors with default settings.

If you want a one-liner:

whatyouwant <- setNames(as.character(dd$name), dd$crit)

How to convert two columns of dataframe into named vector?

If you have 2 columns: X and Y in dataframe df1, and you want Y's values to be the names of items with values from X:

myList <- as.list(df1$X)
names(myList) <- df1$Y

For the modified question, the answer is that there is already a functions that does exactly that ( and might have been a better answer that what I gave:

> split(dat$Var2, dat$Var1)
$A
[1] 1 2

$B
[1] 1 3

$C
[1] 3 4 5

Turning a dataframe into a named vector

You can do:

with(df, setNames(Score, Words))

commitment   progress  implement   decision    message    deficit 
-0.9843452 -0.9831530 -0.9785868 -0.9777243 -0.9762919 -0.9752300 

Convert two column from dataframe to a vector R

library(dplyr)
data %>%
    pull(Cre, name = Cal)

Convert dataframe into named vectors based on column names

You could do something like this (though @MartinGal gives a better method). We can convert each column to a list, then flatten to just have a named vector, then can save to the global environment.

library(tidyverse)

list2env(flatten(apply(df, 2, function(x) as.list(x))), envir = .GlobalEnv)

convert multiple data frame columns to numeric vector

You can use setNames to create a named vector :

vec <- setNames(df$S, df$C)
vec 
# F   O   T 
#7.6 8.0 9.0 

class(vec)
#[1] "numeric"

Convert data.frame column to a vector?

I'm going to attempt to explain this without making any mistakes, but I'm betting this will attract a clarification or two in the comments.

A data frame is a list. When you subset a data frame using the name of a column and [, what you're getting is a sublist (or a sub data frame). If you want the actual atomic column, you could use [[, or somewhat confusingly (to me) you could do aframe[,2] which returns a vector, not a sublist.

So try running this sequence and maybe things will be clearer:

avector <- as.vector(aframe['a2'])
class(avector) 

avector <- aframe[['a2']]
class(avector)

avector <- aframe[,2]
class(avector)

Convert dataframe columns to named number vector

Just use setNames

setNames(blah$y, blah$x)
# Red Blood Red   Crimson    Maroon 
#  20         1        14        13 

Conveniently extract a named vector from data.frame using dplyr/tidy?

The pull.data.frame method already accepts an argument for naming. I thought this was available previously, but this might be only in dplyr 1.0, in which case you would need to install from the tidyverse\dplyr Github repo.

iris %>%
  arrange(Sepal.Length) %>%
  pull(Sepal.Length, Species)

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