R help - Aug 2007 - Invert Likert-Scale Values

Hi!

I am using R to process some community survey data. Several item responses are
recorded via a 7-point Likert-Scale. As I have coded the responses, 1 represents
high agreement, and 7 high disagreement. This of course impacts the coefficients
in a linear regression (of example agreement to self-perception measures on
housing satisfaction). For some purposes, in order to make the coefficients more
accessible to the reader, I would like to invert the item values, i.e. to arrive
at 1 for high disagreement, and 7 for high agreement (such that the linear
regression would express something like "the higher the agreement on A, the
greater the B).

Is there an already existing function for this, or do I use a custom replace
loop in R?

Thank you, Alexis

       
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Will ?recode in the car package do what you want?
 x <- 1:4
 recode(x, "1='4';2='3' ;3='2';
4='1'")


--- Alexis Delevett <adelevet at yahoo.com> wrote:
> Hi!
> 
> I am using R to process some community survey data.
> Several item responses are recorded via a 7-point
> Likert-Scale. As I have coded the responses, 1
> represents high agreement, and 7 high disagreement.
> This of course impacts the coefficients in a linear
> regression (of example agreement to self-perception
> measures on housing satisfaction). For some
> purposes, in order to make the coefficients more
> accessible to the reader, I would like to invert the
> item values, i.e. to arrive at 1 for high
> disagreement, and 7 for high agreement (such that
> the linear regression would express something like
> "the higher the agreement on A, the greater the B).
> 
> Is there an already existing function for this, or
> do I use a custom replace loop in R?
> 
> Thank you, Alexis
> 
>        
> ---------------------------------
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
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> and provide commented, minimal, self-contained,
> reproducible code.
>

Alexis Delevett <adelevet <at> yahoo.com> writes:
> I am using R to process some community survey data. Several item responses
are
recorded via a 7-point
> Likert-Scale. As I have coded the responses, 1 represents high agreement,
and
7 high disagreement. This
> of course impacts the coefficients in a linear regression (of example
agreement to self-perception
> measures on housing satisfaction). For some purposes, in order to make the
coefficients more accessible
> to the reader, I would like to invert the item values, i.e. to arrive at 1
for
high disagreement, and 7 for
> high agreement (such that the linear regression would express something
like
"the higher the agreement
> on A, the greater the B).
> 
> Is there an already existing function for this, or do I use a custom
replace
loop in R?

It's a rarely used function called '-'

x=c(1,7,3,4)
y=8-x
y