How to put data in the tidy format?

[Lydie]

Hi all,

I would need to put my dataset into a tidy format.

My colomns are:
Age_Group; Men; Women; Unknown; Total ;Total_Incidence; M_Incidence ;W_Incidence

I used a tidyverse and did

a <- pivot_longer(df, cols = 2:4, names_to ="Gender",
values_to = "Cases")

but I would also need to somehow split the Incidence and connect it with the gender.

Could someone help me?
Thank you!

[nirgrahamuk]

perhaps

pivot_longer(df,cols=-Age_Group)

[Lydie]

I am not sure...

I tried this, but I still think this is not a tidy format

[nirgrahamuk]

I will try to help you make a tidy dataset from your data.
Can you please provide a representative example ? I have only screenshots and a list of column names to work with at the moment.

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.…

[Lydie]

Unfortunately, I can not upload an excel file, so again one screenshot of my raw data

Thank you

[nirgrahamuk]

Hello,
I'm sure you shared this image with the best intentions, but perhaps you didnt realise what it implies.
If someone wished to use example data to test code against, they would type it out from your screenshot...

This is very unlikely to happen, and so it reduces the likelihood you will receive the help you desire.
Therefore please see this guide on how to reprex data. Key to this is use of either datapasta, or dput() to share your data as code

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.…