How to parse all variables in R? [duplicate] - r

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Make list of objects in global environment matching certain string pattern
(1 answer)
R: Put Variables from .GlobalEnv, that meet certain criteria in list
(2 answers)
Closed 3 months ago.
in python to parse all the variables that have a name ending for example with "_df"
I would use something similar to what I found here. How to do a similar thing in R?
Namely, I have several variables ending with _df and I have to do some actions to these.
Thanks

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similar to SAS where we have macro variable syslast which return the last created dataframe , do we have a similar thing in r [duplicate]

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How to assign the result of the previous expression to a variable?
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Closed 19 days ago.
Similar to SAS where we have system macro variable syslast which returns the last created dataframe, do we have a similar thing in r
You can access the most recent returned value using .Last.value

When should I name things with initial capital letters? [r] [duplicate]

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How does the verbosity of identifiers affect the performance of a programmer?
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What would be the naming conventions for R?
I've seen some here: http://adv-r.had.co.nz/Style.html
In particular, in which cases would you name something in R with Capital Case?

Is there a way to tell R to assume you're subsetting from a particular dataframe? [duplicate]

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How do I refer to multiple columns in a dataframe expression?
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I'm writing code which subsets from a dataframe a lot e.g. lots of dataframe_name$column_name and it's a pain to read and to write. Is there a way to tell R that I'm referencing dataframe_name so that I can just write column_name for each instance?

Creating a list of variable types in R [duplicate]

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How do I get the classes of all columns in a data frame? [duplicate]
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Closed 5 years ago.
Perhaps there is a much simplier way to do this but I do not know. I am trying to create a list of the variable types in R. I have a dataframe with about 20 variables and I want to be create a list where each element is the class of the variable in its corresponding position.
Lets say the dataframe is called USData.
Call class on your data frame using lapply:
lapply(data_frame, class)

I want to compare two datasets to determine which variables they share [duplicate]

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How to find common elements from multiple vectors?
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I have two RNAseq read-outs for two groups and would like to compare them. These data appear as a gene and a value. I would like to determine which genes are shared between the two datasets but they are very large and doing this manually will take a long time. Thanks!
Use
intersect(genes1, genes2)
and look up the help page for other related and useful functions.

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