I have the following R dataframe df: library(tidyquant) start_date <- as.Date('2022-01-01') end_date <- as.Date('2022-03-31') assets_list <- c('DGS30
I have a dataframe like this (edited; adding a grouping variable measurement_type): data <- data.frame(ID = as.factor(c(rep(1, 10),
I've been facing in R the error message for days using getSymbols of the quantmod package: Error in new.session() : Could not establish session after 5 attempts
I am doing an exploratory data analysis for data that is collected at the daily level over many years. The relevant time period is about 18 - 20 months from the
Data: structure(list(ID = c(19903L, 28185L, 28207L, 28429L, 28522L, 29092L, 29127L, 29219L, 29304L, 30981L, 31166L, 31411L, 32010L, 33231L, 33640L, 33714L, 34
I'm writing some code that interfaces with SQL, and I need my character strings to print with single quotes, but R defaults to double quotes. When I go to ?Quot
Hi I have a dataframe sleep_data where I am attempting to change Id values to user1:user33 based on groups. So where Id == 1503960366 change to user_1, Id == 16
I would like to write an R algorithm which would perform the Maximum Likelihood estimation of a binary choice model (probit/logit, it does not really matter) wi
I created a dataset with these variables. Can you help me please.
I am trying to finish a business case in Kaggle but I am having some issues when merging two data frames. Having dataframe "dailyActivity" as: dailyActivity <
I am having difficulties pulling stock data. The code has worked earlier today, however this afternoon I became unable to pull any stock data
How to avoid my y-axis label overlap in this case(top 5 most frequent words for each year)? Because I may need to change the number of words(ie.top10, top20) la
Brief introduction, I have multiple data file that can be fitted by models based in mathematical equations that are a combination (by sum, mutiplication, etc...
I want to run Bonferroni P Adjusted Value Test on a stacked data set. This is my code: stat.2 <- stack.2 %>% group_by(modules) %>% t_test(values ~ phen
I have the following dataframe: # A tibble: 8 x 5 Year Group Unit Profit Sales <dbl> <chr> <chr> <dbl> <dbl> 1 2021 One
I'm trying to get R's reticulate package to detect the Python interpreter in one of my conda-environments. Following several posts and questions, I've attempted
I have a dataset with a lot of categorical mixed with numerical. I am trying to run a regression about obesity where the variables I'm trying to include are sta
I am using dplyr to create multiple variables in my data frame using mutate. At the same time, I am using zoo to calculate a rolling average. As an example, I h
I am running an MDCEV model on location choice dataset and at first I ran into an error as "Log-likelihood calculation fails at values close to the starting val
I have a dataframe looking like this: dataframe Id is the zip code and the columns go from 2015 to 2019. Link to download the database (with the .shp file neede