clabs | Clanjor Labs - Garbage dump

I wrote a code in which I am reading 49 files and extracting p-value which pass a specific threshold and writing in a separate file. My input files (fn) looks like this

I have a large data frame of 5520 by 5520. After every 120 rows I need to add another row. The values of these new rows are contained within dataframes of one row by 5520.

Using rbind I add these rows at the end of the table which I do not want. And gives me an error: fabioN2 <-rbind(fabioN2, auf2[1,]) Error in match.names(clabs, names(xi)) : names do not match previous names

Using tibble with add_row I also get an error: > fabioN2 %>% add_row(fabioN2, auf2[1,], .after = 120) Error: New rows can't add columns. x Can't find columns fabioN2, X1, X2, X3, X4, and 5516 more in .data.

With fabioN2 being the large dataframe and auf2 containing the values I want to add to fabioN2. Undoubtedly the codes are wrong and based on the errors, I have to match the names of the columns of both the dataframes, something I want to prevent considering the 5520 different columns names.

Anyone know how to easily add these dataframes at the desired spots?

I am testing for multivariate normality in the Iris dataset. I want to compare the results of all the different tests under the MVN package (Mardia’s test, Henze-Zikler, Royston, Doornik-Hansen and Energy test) and have done the following code:

I am new to web scraping and am having difficulty scraping multiple pages within a website. I appreciate any feedback from the community!

Goal: To scrape each team's stats from 2019 cfbstats.com and to get each team's data into either one dataframe or custom team dataframes.

Actions: In the code below, I wrote an html call that pastes each team's (small example) unique identifier into the html code. Afterwards, I used an lapply function along with rvest to pull each team's data. Finally, rbind and do.call is used to join all the pulls.

Issues: After help from @Dave2e, I realized am getting issues with rbind combining all the data tables that were scraped. Any advice for joining the data tables from the web scrape? Error in match.names(clabs, names(xi)) : names do not match previous names

I have a dataframe with two factors (distance) and years (years). I would like to complete all years values for every factor by 0.

i.e. from this:

I'm seeking to combine 10 separate dataframes together within a list of data frames I created from a standard for loop procedure. However every column name in each dataframe is unique. I don't seek to bind any columns into other columns. I simply want to place all columns next to each other. So rbind didn't work for me.

Data: The drive folder containing the data can be downloaded here: specdata. The folder contains 332 comma-separated-value (CSV) files containing pollution monitoring data for fine particulate matter (PM) air pollution at 332 locations in the United States. Each file contains data from a single monitor and the ID number for each monitor is contained in the file name. For example, data for monitor 200 is contained in the file “200.csv”. Each file contains three variables. Date: the date of the observation in (year-month-day) format, sulfate: the level of sulfate PM in the air on that date (measured in micrograms per cubic meter), and nitrate: the level of nitrate PM in the air on that date (measured in micrograms per cubic meter)

Objective Write a function named ‘pollutantmean’ that calculates the mean of a pollutant (sulfate or nitrate) across a specified list of monitors. The function ‘pollutantmean’ takes three arguments: ‘directory’, ‘pollutant’, and ‘id’. Given a vector monitor ID numbers, ‘pollutantmean’ reads that monitors’ particulate matter data from the directory specified in the ‘directory’ argument and returns the mean of the pollutant across all of the monitors, ignoring any missing values coded as NA.

Script:

I am reading multiple csv files (20 files) and finally creating one dataframe. Though I manually checked by eye, the column names were same. However, for some reason I get the below error.

Error in match.names(clabs, names(xi)) : names do not match previous names

This is the code that I wrote

I have 2 histograms which i would like to combine into one plot. Somehow i cannot add both of them together. One data frame has length of 1000 and the other has a length of 1000.

The following code gives me an error: