Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with r
Search options not deleted
user 13023
R is a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
0
votes
Accepted
Sparse matrix in R based on the data frame
Your data looks like this at the moment:
data <- data.frame(User_Id = c(276725, 276726, 276725, 276726, 276725),
ISBN = c("A", "B", "C", "A", "B"),
Book_Rating = …
- 3,460
3
votes
Accepted
Code Vectorization of gsub in R
You have plenty of alternatives for this problem
Using sapply
data$abstract <- sapply(data$abstract,
function(x){gsub(pattern = "no abstract available",
…
- 3,460
10
votes
2
answers
619
views
Software Testing for Data Science in R
However, now that I've found myself using R more than python for ML modelling and development. … I realized that I don't really test my R code (And more importantly I really don't know how to do it well). …
- 3,460
2
votes
1
answer
2k
views
Generating Polynomial Features in R
Is there an optimized way to perform this function "PolynomialFeatures" in R? … want to import data from a Python script using sklearn's PolynomialFeatures function into R. …
- 3,460
3
votes
Accepted
Dummy coding a column in R with multiple levels
Feature Hashing
Here is a great explanation of feature hashing in R (among other techniques) which is also an alternative, specially useful when you have hundreds of thousands or millions of multiple …
- 3,460
42
votes
Accepted
Hypertuning XGBoost parameters
Whenever I work with xgboost I often make my own homebrew parameter search but you can do it with the caret package as well like KrisP just mentioned.
Caret
See this answer on Cross Validated for …
- 3,460
2
votes
Accepted
Financial Time Series data normalization
Z-score normalization, as you have already guessed, cannot deal well with non-stationary time series since the mean and standard deviation of the time series vary over time.
Min-max and another commo …
- 3,460
2
votes
1
answer
4k
views
Boruta feature selection in R with custom importance (xgboost feature importance)
According to the documentation - CRAN
Boruta is an all relevant feature selection wrapper algorithm, capable of working with any classification method that output variable importance measure (VIM) …
- 3,460
4
votes
Accepted
Is there any implementation of Extended Isolation Forest algorithm in R/Python?
There is a package on Github called "Extended Isolation Forest for Anomaly Detection", I used it a couple months ago and it seemed to work. For how accurate or how buggy it is, I'm not sure but if any …
- 3,460