 # Reverse ROWS to COLUMNS

#1

Hi guys,
sorry for the question, perhaps trivial.

I have to reverse the rows with the columns. i mean i have a dataframe like:

`````` V1      V2
``````

1 Gender Male
2 Weight 75 kg
3 Height 175 cm
4 Age 21

i would like to get:

Gender Weight Height Age
Male 75kg 175cm 21

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#2

This is one way to do it

``````df <- data.frame(stringsAsFactors = FALSE,
V1 = c("Gender", "Weight", "Height", "Age"),
V2 = c("Male", "75 kg", "175 cm", "21")
)

rownames(df) <- df\$V1
df\$V1 <- NULL
df <- as.matrix(df)
df <- as.data.frame(t(df))
rownames(df) <- NULL
df
#>   Gender Weight Height Age
#> 1   Male  75 kg 175 cm  21
``````

Created on 2019-02-07 by the reprex package (v0.2.1)

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#3

thanks it's perfect 0 Likes

#4

You can simply use the transpose of a data frame i.e. `t(df)` where `df` is name of your data frame. For more information read https://www.r-statistics.com/tag/transpose/

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#5

If your question's been answered (even by you!), would you mind choosing a solution? It helps other people see which questions still need help, or find solutions if they have similar problems. Here’s how to do it:

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#6

Here's another approach, using `spread()` from the tidyr package.

``````library(tidyr)

df <- data.frame(stringsAsFactors = FALSE,
V1 = c("Gender", "Weight", "Height", "Age"),
V2 = c("Male", "75 kg", "175 cm", "21")
)

df
#>       V1     V2
#> 1 Gender   Male
#> 2 Weight  75 kg
#> 3 Height 175 cm
#> 4    Age     21

spread(df, V1, V2)
#>   Age Gender Height Weight
#> 1  21   Male 175 cm  75 kg
``````

Created on 2019-02-07 by the reprex package (v0.2.1)

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closed #7

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