R4ds Cheat Code Editor V1 08
Addison Mauldin
Software for editing the usrcheat.dat file, which is the cheat code database for NintendoDS R4. This software supports output in GBK character code, which prevents garbled characters in English/Chinese version R4 when Japanese is used for code names.
EDIT: I got some Max Revives from a...cheat, and with those I defeated the Elite Four AND the Champion! Turns out the Champion was MUCH easier than the Elite Four. sad, right? might of been 'cause I had a level 100 Grass/Dragon type, and the rest of my Pokemon were in the 80-90's. Beat her with only losing 2 Pokemon.
R Markdown provides an unified authoring framework for data science, combining your code, its results, and your prose commentary. R Markdown documents are fully reproducible and support dozens of output formats, like PDFs, Word files, slideshows, and more.
When you open an .Rmd, you get a notebook interface where code and output are interleaved. You can run each code chunk by clicking the Run icon (it looks like a play button at the top of the chunk), or by pressing Cmd/Ctrl + Shift + Enter. RStudio executes the code and displays the results inline with the code:
You can continue to run the code using the keyboard shortcut that by now (I hope!) you know and love: Cmd/Ctrl + Enter. However, chunks get a new keyboard shortcut: Cmd/Ctrl + Shift + Enter, which runs all the code in the chunk. Think of a chunk like a function. A chunk should be relatively self-contained, and focussed around a single task.
The following sections describe the chunk header which consists of ```r, followed by an optional chunk name, followed by comma separated options, followed by . Next comes your R code and the chunk end is indicated by a final ```.
eval = FALSE prevents code from being evaluated. (And obviously if thecode is not run, no results will be generated). This is useful fordisplaying example code, or for disabling a large block of code withoutcommenting each line.
Read the documentation for ?knitr::kable to see the other ways in which you can customise the table. For even deeper customisation, consider the xtable, stargazer, pander, tables, and ascii packages. Each provides a set of tools for returning formatted tables from R code.
There is one other way to embed R code into an R Markdown document: directly into the text, with: `r `. This can be very useful if you mention properties of your data in the text. For example, in the example document I used at the start of the chapter I had:
Quarto provides a unified authoring framework for data science, combining your code, its results, and your prose. Quarto documents are fully reproducible and support dozens of output formats, like PDFs, Word files, presentations, and more.
Figure 28.1 shows a .qmd document in RStudio with notebook interface where code and output are interleaved. You can run each code chunk by clicking the Run icon (it looks like a play button at the top of the chunk), or by pressing Cmd/Ctrl + Shift + Enter. RStudio executes the code and displays the results inline with the code.
Create a new Quarto document using File > New File > Quarto Document. Read the instructions. Practice running the chunks individually. Then render the document by clicking the appropriate button and then by using the appropriate keyboard short cut. Verify that you can modify the code, re-run it, and see modified output.
Create a document in a Google doc or MS Word (or locate a document you have created previously) with some content in it such as headings, hyperlinks, formatted text, etc. Copy the contents of this document and paste it into a Quarto document in the visual editor. Then, switch over to the source editor and inspect the source code.
eval: false prevents code from being evaluated. (And obviously if the code is not run, no results will be generated). This is useful for displaying example code, or for disabling a large block of code without commenting each line.
Since Quarto is designed to be multi-lingual (works with R as well as other languages like Python, Julia, etc.), all of the knitr options are not available at the document execution level since some of them only work with knitr and not other engines Quarto uses for running code in other languages (e.g., Jupyter). You can, however, still set these as global options for your document under the knitr field, under opts_chunk. For example, when writing books and tutorials we set:
There is one other way to embed R code into a Quarto document: directly into the text, with: `r `. This can be very useful if you mention properties of your data in the text. For example, the example document used at the start of the chapter had:
When mingling code and text, like in this book, you can set fig-show: hold so that plots are shown after the code. This has the pleasant side effect of forcing you to break up large blocks of code with their explanations.
Similar to figures, you can include two types of tables in a Quarto document. They can be markdown tables that you create directly in your Quarto document (using the Insert Table menu) or they can be tables generated as a result of a code chunk. In this section we will focus on the latter, tables generated via computation.
Read the documentation for ?knitr::kable to see the other ways in which you can customize the table. For even deeper customization, consider the gt, huxtable, reactable, kableExtra, xtable, stargazer, pander, tables, and ascii packages. Each provides a set of tools for returning formatted tables from R code.
Troubleshooting Quarto documents can be challenging because you are no longer in an interactive R environment, and you will need to learn some new tricks. Additionally, the error could be due to issues with the Quarto document itself or due to the R code in the Quarto document.
One common error in documents with code chunks is duplicated chunk labels, which are especially pervasive if your workflow involves copying and pasting code chunks. To address this issue, all you need to do is to change one of your duplicated labels.
Quarto is also important because it so tightly integrates prose and code. This makes it a great analysis notebook because it lets you develop code and record your thoughts. An analysis notebook shares many of the same goals as a classic lab notebook in the physical sciences. It:
Open the cheat database users already have, if there are some cheat codes in the current database, the opened data will be added behind the cheat codes, to use this function will complete the merge of several databases.
"Game ID:" is composed by two parts, the first 4 letters are for the game "Game code", the last 8 hexadecimal numbers for the game crc code, used for the match of the cheat and the corresponding game.
"Cheat data:" use for input the cheat code, indicated with 16 hexadecimal numbers, every 8 numbers place a space, please certainly press "Update Code" button after input completed in order to add the data into the database, otherwise it will be lose.
I'm trying to add cheats for a patched version of Harvest Moon DS, which is basically the same as the vanilla game but seems to have a different gameID. I've tried using the R4 Cheat Code Editor, but it seems to crash when loading recent versions of the cheat database. Is there another good way to edit the database to make it work?
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