Freecut | Free cutting firmware replacement for cricut hardware
kandi X-RAY | Freecut Summary
kandi X-RAY | Freecut Summary
Free firmware replacement for Cricut(tm) Personal paper cutter. IMPORTANT: REPROGRAMMING THE AVR WILL PERMANENTLY ERASE YOUR ORIGINAL FIRMWARE. Original firmware cannot be copied from another machine (it has been locked and cannot be read from the CPU). Original firmware cannot be restored through any PC application used for normal firmware upgrades. This Freecut firmware has only been tested on the machine that I have. It may not work on your machine. It may cause permanent damage, and it will certainly void your warranty. Freecut cannot read your original cartridges and may never read them in the future. Cricut is a trademark of PROVO CRAFT. Freecut is not a PROVO CRAFT product. Freecut was developed completely independently, without any documentation to PROVO CRAFT products, and without any original firmware. If you have problems with Freecut, do not consult PROVO CRAFT.
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QUESTION
I'm starting to learn R and I'm having a hard time making changes to the names of values in a factor. I've tried using revalue and recode but am still seeing the original names when I look at the dataframe.
Here's what the DF looks like:
...ANSWER
Answered 2018-Oct-03 at 15:34R doesn't modify in place, you have to assign results - either back to the original variable to modify it, or to a new variable. This is a paradigm of functional programming, and R is a functional programming language.
If you have x = 1
, running x + 1
will evaluate and print the result, 2
, but x
is not changed. If you want to overwrite x
with the modified value, you run x = x + 1
.
Just the same way, running recode
, will evaluate and print a result, but if you want to modify the column in your data frame, you need to explicitly assign it with freecut$homeland = recode(...)
.
There are a few exceptions in add-on packages. For example, the data.table
package defines some set*
operators which do modify objects in place. data.table
is fantastic, especially if you need efficiency, but if you are just starting with R I would recommend getting familiar with the basics first.
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