SiO2 | Base pack of useful reusable game code | Game Engine library

I have two list of dataframes which I want to combine, however, they have slightly different colnames and I can not rbind them because of it.

I want the second list to match the names of the first list and I am attempting to update the names of the second list so that I can rbind. Ultimately the end product will be for presentation purposes.

Small section of my two lists of dataframes

I currently have a seaborn relplot

I have two lists of dataframes, each dataframe in the two lists have the same name and of the same number of columns. I want to rbind the matching dataframe names from list 2 onto list 1.

snippets of my two lists below

I want to create a QQplot for each column in a dataframe then return as a list of plots

A small section of my df

I have a dataframe and a list of dataframes that I want to use to make multiple boxplots. The dataframe contains chemsitry information from for multiple analytes with results from multiple labs.

The the list of dataframes is storing results of summary stats, mean, median and so forth. This information is stored separate as outliers have been removed from calculating the stats.

The boxplots i want to produce will display all values

I sample of my dataframe below

I have a list of dataframes that consists chemistry information that compares the results between laboratories for around 30 analytes. Each analyte is stored as a single dataframe within the list of dataframes

I have written a function that performs ANOVA over each dataframe which works except when the number of laboratories is less than 3. ANOVA should have a minimum of 3 groups for comparison. I am attempting to put in a condition (if statement) that identifies the analytes that do not meet the 3 laboratory requirement and then return NA and if does meet the requirement it goes aheads and undertakes the operation.

A sample of my list of dataframe below

I have written a function to calculate Coefficient of variances that I want to a apply to a list of dataframes. The function executes however returns an unexpected outcome. Instead of returning the result for each column of the each dataframe it is also producing additional values that do not make sense.

A sample of my list of dataframes below

I have a list of around 30 dataframes. I calculate various statistics (mean, sd, median, etc) on the values within each dataframe using lapply and save as a new dataframe

Each dataframe within the list of the dataframes represents chemistry information and has different requirements in how many decimal places are displayed for the the calculated statistics. I also have a requirement that if a given analyte is to be displayed to 3 decimal places then a value of 23.2 must be 23.200. I am able to set the same decimal places across all dataframes but specific to my requirements.

I can use the format function on a vector to get the decimal places I want such as

I have a working optim function that works for a single row.

The optim function estimates mineral proportions from chemical data by minimizing the residuals.

I would like to apply the same function for each row in the dataframe (in reality there may be a large amount of rows).

I've tried using rowwise from dplyr but it is not correct.

Data:

Dataframe below of ideal mineral compositions: