Questions tagged [r]
R is a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
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classify blocks of time series of unknown section lengths basis slope and smoothed diff
What will be the best approach to classify blocks of a univariate time series that contains data of a fuel tank level (data captured every 30 seconds)? The slope of the curve would be an important ...
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R: Model results in same test accuracy and ROC - How is this possible?
I've trained a simple mlp with my data set (unfortuanetly I cannot share any details):
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Do cost-complexity pruned trees perform better relative to unpruned trees?
I came across an adapted question from the famous ISLR book and realise I am unsure of the answer. Does anyone know? Interested in the intuition here!
Cost-complexity pruned trees with $\alpha=1$ ...
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Reduce rows in data frame when computing variable?
Would anyone have an idea as to how I can change this code so that I get to a data frame that only has one row per year?
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Do you know any R library to do utility-based regression?
I wanted to know if anyone knew of a library that has utility based regression implemented or someone who knows how to adapt normal regression to utility based regression. I can use either R or python ...
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Clustering Using SOM Codebook
I've recently been using the aweSOM R package for cluster visualisation, https://cran.r-project.org/web/packages/aweSOM/vignettes/aweSOM.html.
In particular, the aweSOM package entails using ...
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Does t-SNE have to result in clear clusters / structures?
I have a data set which, no matter how I tune t-SNE, won't end in clearly separate clusters or even patterns and structures. Ultimately, it results in arbitrary distributed data points all over the ...
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Correlations with NA or with Zeros?
When calculating correlations in R e.g. via cor is it better to treat missing data as NAs or as ...
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R and Tableau Integration Calculated Field - Mann-Kendall Test
I am trying to detect a monotonic increase or decrease in the rate of ED visits over a 6 month time period (using monthly rates). I would like to see the p-value in the tool-tip when hovering over the ...
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R code making 1 column into multiple columns with their unique ID
Currently stuck on a data wrangling question in R. So far I've tried variations of this code using tidyverse package, columns 5 and 6 here were the rating and the user:
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Is there a way to forecast a time series multiple linear regression using externally made dummy variables?
This question concerns question 4h of this textbook exercise. It asks to make future predictions based on a chosen TSLM model which involves an endogenously (if i'm using this right) made dummy ...
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Many regression lines in a plot
How do you plot many regression lines in a plot? This concerns the textbook question from "Forecasting: Principles and Practice". A dataset concerns winning times of Olympic running events. ...
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Learning Python after R [closed]
I just started to learn Python after I worked about 5 years with R. I'm using Spyder as people are recommending this IDE as closest to R and more friendly to Data Science applications.
As a ...
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Which statistical analysis to use when you assume non-linear model but not-specified?
I'm a psychology student/researcher and looking to model a phenomenun in which there are 3 variables.
The relation of these variables are exactly unclear but I assume these variables are non-linear in ...
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Table from results of sknn function (klaR package) won't output
I have a data set with 6 variables that I'm trying to run the sknn function on and then output a table of the results to show k-NN results. I have updated the response variable to a factor to use as ...
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Regression trees with partykit
I am using the partykit library in order to use regression trees to make predictions.
My goal is to create a regression tree that uses binomial as the distribution family parameter.
I have been going ...
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Whether effect of one categorical variable on a continuous variable depends on levels of another categorical variable
In the dataset I need to analyse, I need to look at whether the effect of people's profession (3 categories) on their scores on a test (I have already tested for this effect and found one) differs ...
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For each unique value in a column, count respective unique values in another column
I have a set of tabular data (e.g. csv) representing accesses to a server through a specific protocol . The data follows this format:
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How to cluster the numerous variable with r studio?
How do I cluster the 18 variable with R studio? Should I pair the variable and cluster them? e.g pair Bounce rate and exit rate and cluster, pair visitor type and revenue and cluster. In this data set,...
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Problems with KNN using tidymodels
I am analyzing a database and I want to perform a KNN. I am using the 'tidymodels' library and when I run the model, I get the following error:
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Multiple conda enviroments in (R) functions using reticulate
For an internally used R package I need to have certain functions load python environments to do part of the processing. The environment cannot be the same one for all functions, unfortunately, due to ...
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Machine Learning Model for Automating Data Cleaning
I have a large file of unstructured help data as below:
Hospital Name, Address and Contact
Trinity Hospital (123 Main Street) c/o John Smith
Island Health Centre, Director: Benson Lee, 1 Pike Road
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Calculating relative risk in R
I am working with the nhanes data from 2017-2018. I want to determine the relative risk of being overweight (Adipös) when being "Poor". And this grouped by Gender and Ethnicity.
So far I ...
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Free IDE for enterprise use to program R - any tips?
I recently started working at a company that would benefit from my R programming skills, however, I can't use R-studio because the enterprise edition isn't free. I also gave Jupyter Notebook a shot, ...
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How to convert a string variable containing comments to a variable with integers to be used in neural networks?
I am working with data contains comment variable like imdb data.
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How to observe dependencies using ROC curves?
I am dealing with a database in which I am recording the scores that each race has to obtain a credit. I have made the following graphs:
[enter image description here]2
Where you can see the relative ...
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Transforming /collapsing correlated data to a single independant variable
Is there a technique to collapse correlated data to a single variable? Lets say that the independant variable is the load applied and the dependant variable is the time to failure. When the load is ...
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step-by-step creation of models with accumulation of predictors vs GridSearch
Can you please tell me if step linear models of the independent variable "ols_step_both_p()" (R) are possible with the accumulation of predictors in the amount of 58, 220 and 299, naturally ...
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What does it mean when roc curves intersect at a point?
I am working with a data set and I have obtained the following roc curve:
As you can see, black and Asian ethnicity cross at one point (green and purple lines). Does this have any significance?
Could ...
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How to estimate a best fitting line that separates variables on a scatterplot by some third binary outcome variable with 95% accuracy?
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I've been thinking about this and haven't found a non-brute force method of doing it. I have a series of scatterplots depicting the relationship between two predictor variables and a third binary ...
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How to extract MSEP or RMSEP from lassoCV?
I'm doing lasso and ridge regression in R with the package chemometrics. With ridgeCV it is easy to extract the SEP and MSEP values by ...
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How to avoid column names change into valid name format in R
Using
dataset <- read.csv(file = 'anything', check.names = FALSE)
colnames(dataset)
in R, the names are changed into a valid name. (eg. ...
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Add an empty row in dataframe with condition using python
i have this 2 datafram and when i compare this 2 datafram i want to add an empty row where the row is in the first one and is not in the second i write this code but is not working for the empty row
<...
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PCA dimentional reduction
I try to plot three values of a VCF file (QUAL, DP, and rate of phasing) for all the SNPs in the file.
I thought that a PCA plot would be a good way to reduce dimensions of the plot, and to compare ...
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making a contingency table with TRUE and FALSE values
I made the following contingency table already, however there should only be TRUE or FALSE and not all of them showing up on the table. How can I change that?
my code is the following:
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How to add training costs to the variables of a model? [closed]
I am dealing with the Breast Cancer dataset and I want to include costs to the variables, trying to minimize the training costs and maximizing the accuracy. The costs for each variable are as follows
<...
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Machine learning problem - train and test with different classes
I have a datasets composed like this:
library(caret)
data <- iris
train <- data [1:75,]
test <- data[76:150,]
So, I have 3 classes in total but:
Train: ...
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Clustering observations vs clustering features
suppose I want to apply a clustering method of my choice (K-means, hierarchical, ...) to a matrix of observations $X \in \mathbb{R}^{n \times p}$, where $n$ is the number of observations and $p$ the ...
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Interpretation of PCA/FAMD results
I wrote a code about a mix PCA (FAMD - factor analysis of mixed data), where I have a dataset with some categorical variable and some numerical variable. This is my example code in R:
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How to plot a PCA table [closed]
I'm studying PCA method with the package PCAmixdata because I have a dataset with numerical and categorical variable. This is my example code in R:
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Doubt about seed setting
I'm doing some data analysis using R and I wrote set.seed(100) at the top of my code.
My question is: can I set a random value for the seed? Is there a meaning for ...
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Difficulties in create a confusion matrix in R for Yes or No
I am new to regression and confusion matrix and trying to create a confusion matrix from logistic binary regression model. I am trying to create a confusion matrix from Yes or No values from the ...
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32
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PCA analysis graph
I'm trying to draw a graph for a PCA analysis. This is my example R code:
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Trying to perform elastic-net regression in R
I am new to R and Elastic-Net Regression Model. I am running Elastic-Net Regression Model on the default dataset, titanic. I am trying to obtain the Alpha and Lambda values after running the train ...
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Binary Logistic Regression in R on the dataset, Titanic
I am new to R and Model Learning Algorithm. I am trying to perform Binary Logistic Regression on the training set using the Titanic dataset which is provided by default from R. I am running the ...
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PCA result interpretation
I'm studying PCA and I'm trying to apply this method to mtcars dataset in R. This is my code:
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Convert a column into row names in an existing data frame
I would like to convert the values in a column of an existing data frame into row names.
For example this is the iris dataset:
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Variables selection to build logistic regression model in R
I want to build a logistic regression model on this df to predict the var12 and I am trying to figure out which variables should I use and with which method.I read that I used calculate the p-value ...
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