recoded | Re-coded by the School for Poetic Computation—crowdsourced
kandi X-RAY | recoded Summary
kandi X-RAY | recoded Summary
Re-coded by the School for Poetic Computation—crowdsourced recreations of early digital works using new tools
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QUESTION
Thanks in advance, and sorry if something is unclear, it's my first time posting here. I am working on something that should be fairly simple, but I cannot seem to find a way of making it work.
The task that I want to complete is the following: I have a dataset with hundreds of variables. I need to recode all of them following the same logic. The logic is the following: if the GIVEN VARIABLE == 0 & a SPECIFIC VARIABLE == 1, the GIVEN VARIABLE must = -1. The SPECIFIC VARIABLE is the same for all of them.
What I have done is the following:
...ANSWER
Answered 2022-Mar-29 at 15:03A simple correction would be to wrap with get
QUESTION
While attempting to run the following code
...ANSWER
Answered 2022-Mar-21 at 23:04Big thanks to @BernhardDöbler for getting me to look into where ChartData comes from. Since this was inherited code, I had to look into this. It turned out that ChartData was created with the following line of code.
QUESTION
I have a large dataframe
with a structure like this:
ANSWER
Answered 2022-Mar-13 at 23:57If this is a large dataframe
, using the data.table
library, you could do:
Reprex
- Code
QUESTION
Originally in my df, I had my BMI in numeric format(1-5), which I recoded (underweigh to obese), factored and choose a specific reference using relevel (Normal, originally 3). Then did a logistic regression: y~ BMI+other covariates. My questions are the following :
1- When I plug my logistic in tbl_regression, the levels have undesired orders (underweight, obese1, obese 2, overweight) . Is there a way to rearrange the levels the way I want to (underweight, overweight, obese 1, obese 2)?
2- I used tbl_regression on a small data set which went ok. My new model, however, is based on 3M observation and 13 variables (the database is 1Gb). This time my tbl_regression is taking about 1h to process and out put the table, which is not normal since I have a fast laptop. Is there a way to make this more efficient ? I tried keeping the model only while using tbl_regression and removed the database, but it is still hellishly long. I tried with the trial data and it was ok..
...ANSWER
Answered 2022-Mar-13 at 12:051 - I recommend using contrasts()
to set the reference level. The relevel()
function just moves a factor level to the first position. Examples here Is there a way to relevel a variable in gtsummary after generating the beautiful table?
2 - I suspect with such a large model, the confidence interval calculation is what is slowing you down. If you see a big difference in the computation times of summary()
and broom::tidy()
with the CI calculation compared to tbl_regression()
, please create an illustrative example (that anyone can run locally) and it can be looked into further.
QUESTION
A function should do only one thing is considered a good practice when writing functions. However, I have a function that is already very minimal, but nevertheless I think it can be further extracted, but I don't know how this can be done.
The following recode()
function replaces array values according to a look-up dictionary.
ANSWER
Answered 2022-Mar-04 at 13:54You do not need to extract in your case, thats why arrow functions exist.
QUESTION
ANSWER
Answered 2022-Feb-24 at 16:49 ActiveWorkbook.Worksheets("Data").Sort.SortFields.Clear
ActiveWorkbook.Worksheets("Data").Sort.SortFields.Add2 Key:=Range("Q7", Cells(LastRow, "Q")), _
SortOn:=xlSortOnValues, Order:=xlAscending, DataOption:=xlSortNormal
With ActiveWorkbook.Worksheets("Data").Sort
.SetRange Range("Q7", Cells(LastRow, LastCol))
.Header = xlNo
.MatchCase = False
.Orientation = xlTopToBottom
.SortMethod = xlPinYin
.Apply
End With
QUESTION
A fairly common data issue in some circles is coding an instrument, for example this one, where related items are separated in the instrument. The idea is to avoid cuing the respondent that all of these questions - say all those beginning with A or D in this example, are related.
...ANSWER
Answered 2022-Feb-05 at 19:37Consider using a named list. Is this what you want?
QUESTION
I am trying to recode a variable (diab) into a new variable (diab_bin). I'd like observations with 1 to be recoded to 0, and 2:5 to be recoded as 1.
However, I can't even get past the first step of just recoding 1 to 0.
Here's what I've tried:
...ANSWER
Answered 2022-Feb-04 at 17:36Figured it out! Use case_when and between
QUESTION
There is an aspect of the pattern matching I don't understand.
In the documentation of the pattern matching they show an example such as :
...ANSWER
Answered 2022-Feb-02 at 18:37Under the hood, Scala pattern matching often boils down to code that's exactly like the if (notification instanceof Email) { ... } else if (notification instanceof SMS)
Java code.
The particular example you give, of an abstract class Notification
which isn't sealed
is one where the Scala code is no better (except perhaps expressing overall intent more clearly) than the if
/instanceof
tree.
This is because the main benefit of pattern matching is the possibility of exhaustivity checking. With the if
/instanceof
approach and the example of pattern matching you present, you aren't going to be alerted that you haven't handled every case (e.g. you left off the VoiceRecording
case).
By making Notification
sealed
(e.g. sealed abstract class Notification
), the Scala compiler will ensure that no Scala code in other files (technically, compilation units, which are for all intents and purposes files) can extend Notification
; since it now knows all the possible Notification
s, it can then raise a compiler error if you miss a case. There's no reliable way to do this in the if
/instanceof
case because that's a lower level of abstraction.
QUESTION
I have a data frame with the following simplified structure:
...ANSWER
Answered 2022-Jan-31 at 19:55You can try this
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