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Mutate related coding questions

👩‍💻 Technical question

Hoe to use shift in javascript

🤖 SheCodes Athena says:

Answered in 3 seconds

To use the shift() method in JavaScript, you can apply it to an array. The shift() method removes the first element from an array and returns that removed element. Here's an example:

javascript
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let numbers = [1, 2, 3, 4, 5]; let removedNumber = numbers.shift(); console.log(removedNumber); // Output: 1 console.log(numbers); // Output: [2, 3, 4, 5]

In the example above, the shift() method is called on the numbers array. It removes the first element (1) from the array and returns it, which is then stored in the removedNumber variable. The numbers array is modified and now contains the remaining elements [2, 3, 4, 5].

Note: The shift() method mutates the original array, so be cautious when using it.

👩‍💻 Technical question

Asked 2 years ago in R by Mornie

I have a data frame with variables for participants ID, length of hospital stay, disease and whether they had stayed in hospital over the study period. There are multiple rows for each ID, as people have multiple values for the disease and length of hospital variable. I want a piece of code that goes through each group of IDs, notes if someone has been in hospital longer then 1 day and if they have I want to fill in the rest of the ID rows with 1. Could you write this code so it is compatible with R?

🤖 SheCodes Athena says:

Answered in 4.59 seconds

To go through each group of IDs, note if someone has been in the hospital longer than 1 day, and fill in the rest of the ID rows with 1, you can use the dplyr package in R as follows:

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library(dplyr) data_frame %>% group_by(ID) %>% mutate(StayedLonger = ifelse(length(unique(Stay)) > 1 & sum(Stay > 1) > 0, 1, 0)) %>% fill(StayedLonger)

Here, data_frame is the name of your data frame.

First, we group the data by ID using group_by(ID). Then, we create a new variable called StayedLonger by checking whether the length of unique values of stays for an ID is greater than 1 and whether there is at least 1 stay longer than 1 day. If so, we set StayedLonger to 1, otherwise, we set it to 0 using the ifelse() function.

Next, we use fill() to propagate the last observed value of StayedLonger forward to fill in the rest of the rows for each ID. This way, for each ID where someone has stayed longer than 1 day, all the rows for that ID will have StayedLonger set to 1.

Note: Replace "data_frame" with the name of your actual data frame in the code.

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