RTextTools | open source machine learning package for automatic text | Machine Learning library

In the R code below, I am introducing train data to create models based on a series of algorithms (e.g. Max Entropy, SVM, etc).

I am having a problem with the algorithm table of results, as each one is showing the exact same output.

Please can you help me to specifically understand the reasons to why each algorithm's table of results is producing exact same output?

Dataset applied in the R code

Is there any alternative for rtexttools or another package for this kind of classification methodology, because these package were erased, also maxent and glmnet and they depended on rtexttools and vice verse; here is the script that im trying to apply and classify

I am unable to install packages (rtexttools and depend on maxent both lunch errors debt that the were removed recently from the CRAN repository) through latest version of RStudio and R Version.3.5.1 and 3.5.3.

I tried also installing them manually, format .tar, but nothing happened the the error remained.

The error:

install.packages("RTextTools")

Installing package into ‘C:/Users/dramosd/Documents/R/win-library/3.5’ (as ‘lib’ is unspecified)

Warning in install.packages : package ‘RTextTools’ is not available (for R version 3.5.3)

I'm completely new to statistical learning etc but have a particular interest in text classification. I was following a lab I found on the topic here: https://cfss.uchicago.edu/text_classification.html#fnref1. Unfortunately the lab ends before the trained model could be used on new data, so I tried to figure out how to complete it myself.

I have my model trained, Im using random forest. When I try to use predict() on new data it throws an error: Error in predict.randomForest(modelFit, newdata) : variables in the training data missing in newdata

Which in my mind doesn't make sense as the test data is literally a subset of the original data. I assume this error has something to do with how I built my model vs the data structure of the test data but I'm honestly not competent enough to figure out how to solve the error or where it is actually even stemming from (though I assume Im making some ridiculous error).

There are other posts with the same error but I think the source of their errors are different to mine, I've tried to find a fix for this all day!

Complete code I'm using below:

I'm using text mining packages to read a group of PDF documents into plaintext, and I want to export this plaintext to a dataframe/CSV/text files (to facilitate further analysis with RTextTools)

First, I pulled PDF documents into a VCorpus using the tm package. The tm package's VCorpus object stores lists containing a "PlainTextDocument" and "TextDocument" object for metadata and plaintext. I.e. "Metadata: DocumentName1"... and the content, "The terms of X are...".

The package "RTextTools" has a known error in the funtion create_matrix(). The following post shows how to solve the problem for a single R-Session with the following
Fix. However, the post only says how to fix the error via trace("create_matrix",edit=T)

I run R on a linux server via command line. I am wondering how to fix this problem in such a setup

While there have been answers about providing custom lists of stop words to RTextTools, I would like to know about any command to access the existing/default stop word list.

I want to lemmatize english words such that all of them get converted to the same tense. For example:

I try to create a matrix, for this I would like to tolower text. For this I use this R instruction :