How to print a character vector 'pretty' in R Markdown? [closed] - r

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Is there a function such as kable to output character vectors in a way that doesn't look as ugly as the default console type?

See eg p from the pander package or the generic pander method:
> pander::pander(sample(letters, 5))
_p_, _r_, _v_, _f_ and _t_
If you want to override the default formatting, see panderOptions or specify directly in the p function.

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How to add variables without "$" [closed]

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I want to run a binary logistic regression in R but I see this error:
Error in if (!length(fname) || !any(fname == zname)) { :
missing value where TRUE/FALSE needed
It happens because I use variables with $. For example data$HEIGHT.
I use read.table() for importing .txt file.
How can I use HEIGHT instead of data$HEIGHT?

Specific code from SAS to R [closed]

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I am trying to write this (SAS) comand in R. x is a variable with this specific format: j61915035t
x1 = trim(upcase(substr(x,1,1)));
I really appreciate what you are doing in this site!
You want to remove leading/trailing blanks from a character string that is the uppercase first letter of the string x. So this should do it.
library(stringr)
x1 = str_trim(str_to_upper(str_sub(x,1,1)))

R: Vector Group by Defined group [closed]

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I have a vector c("A","B","C",......) and a list list(c("A"),c("B","C"))
I want to get a vector c(1,2,2....)
Is there any function in some basic packages?
we can use merge
merge(stack(setNames(lst, seq_along(lst))), data.frame(values=v1))$ind

R Markdown could not find function [closed]

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Running Compile Notebook from RStudio.
I am getting:
Error: could not find function "SegNeigh"
"SegNeigh" being my own function, properly sourced; the script runs fine without R Markdown.
Any help appreciated.
In order for the rmarkdown doc to find the function, you either need to define SegNeigh in the same document or place it in another file and source that file explicitly

R : Do not understanding the objective of a code [closed]

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Given the following setup:
area.factor <- cut(state.x77[,"Area"],
breaks=quantile(state.x77[,"Area"],c(0,.25,.75,1)),
labels=c("small","medium","large"),
include.lowest=TRUE)
state <- data.frame(pop=state.x77[,"Population"],
inc=state.x77[,"Income"],
area=area.factor,
region=state.region)
pop.area.region <- with(state,ftable(pop,area,region))
The following two lines of code are show the same result:
head(ftable(prop.table(pop.area.region,margin=2)))
head(prop.table(pop.area.region,margin=2))
I don't understand what effect adding ftable has, if any, in:
head(ftable(prop.table(pop.area.region,margin=2)))
Adding ftable witll try to coerce the pop.area.region to a ftable class. Here
No need to add ftable since pop.area.region is already an ftable.
identical(ftable(prop.table(pop.area.region,margin=2)),
prop.table(pop.area.region,margin=2))
TRUE

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