converting long to wide

[uqlsmey]

Hi Everyone,

I am wondering if anyone can help to suggest the way to reshape or reframe data from long to wide.
I attached jpg for your review.

Not sure how to do it.

I appreciate any help.

[nirgrahamuk]

Typically tidyverse package containing pivot_wider would be recommended.

Pivot data from long to wide — pivot_wider

Study the examples.
If you require further assistance, please provide a reprex, neither excel nor jpg/image is a good format for the task of communicating with the forum.

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

[uqlsmey]

Hi Nirgrahamuk,
Thanks for your response. Could please suggest the code or script for me to start with?

[nirgrahamuk]

I dont think you've spent any significant time reading the content that I linked you to ...

[uqlsmey]

I tried, but it gives me this one:

sorry I am just a beginner. Hope you can help. Many thanks

[nirgrahamuk]

p.s. I wouldnt ever use such code; but only because I wouldnt aim for the sort of result you asked for; though appreciate I may be taking your ask too literally.

library(tidyverse)

(an_example_input <- tibble(
  Source=
    c("SP1",
      "SP1",
      "Rainfall",
      "Runoff",
      "SP2",
      "SP2",
      "SP2",
      "Runoff"),
  Target=
    c(
      "Evap",
      "STWD",
      "SP1",
      "SP1",
      "Evap",
      "STWD",
      "SP2",
      "SP2"
    )
    
))

true_sources <- c("SP1","SP2")

(fixed_1 <- an_example_input |>
  mutate(switched=Target %in% true_sources,
         osource = Source,
         otarget= Target,
         Source=if_else(switched,otarget,osource),
         Target=if_else(switched,osource,otarget)))

(wider_1 <- select(fixed_1,Source,Target) |> 
    pivot_wider(names_from = "Source",
                values_from="Target",
                names_repair = "minimal") )
  

  (wider_2 <- wider_1|> unnest_wider(col=true_sources,names_sep = "@"))

names(wider_2) <- gsub(pattern = "@.*",replacement = "",x=names(wider_2))
wider_2

[technocrat]

A reprex looks like this. It can be cut-and-pasted into a source pane to show exactly what is being worked with

d <- data.frame(
  source = rep("bow",10),
  target = rep("eye",10)
)
d
#>    source target
#> 1     bow    eye
#> 2     bow    eye
#> 3     bow    eye
#> 4     bow    eye
#> 5     bow    eye
#> 6     bow    eye
#> 7     bow    eye
#> 8     bow    eye
#> 9     bow    eye
#> 10    bow    eye
as.data.frame(t(d))
#>         V1  V2  V3  V4  V5  V6  V7  V8  V9 V10
#> source bow bow bow bow bow bow bow bow bow bow
#> target eye eye eye eye eye eye eye eye eye eye

^{Created on 2023-06-15 with reprex v2.0.2}

For more complicated cases there is {tidyr} with pivot_longer() and pivot_wider(). For a quick and dirty, I prefer this.

[Akash01]

https://rpubs.com/MJ2787/499268
See this, useful functions to convert wide to long and vice versa.