Simply quote the colnames in the call, i.e.:
demo("a", "b", df)
Best,
Uwe Ligges
On 02.06.2019 03:43, Sorkin, John wrote:
Colleagues,
Despite Bert having tried to help me, I am still unable to perform a simple act
with a function. I want to pass the names of the columns of a dataframe along
John,
I believe the pieces you are missing are filed under 'computing on the
language', 'passing unevaluated objects', and 'language objects'.
Forgive me if I belabor things you already know.
lm, transform, and many other functions do their "magic" by operating on
language objects.
You migh
PS: lm records a copy of the call in its result, but has no other use
for any name the data frame may have had.
On Sun, 2 Jun 2019 at 14:45, Richard O'Keefe wrote:
> You can find the names of the columns of a dataframe using
> colnames(my.df)
> A dataframe is a value just as much as a number
You can find the names of the columns of a dataframe using
colnames(my.df)
A dataframe is a value just as much as a number is, and as such,
doesn't _have_ a name. However, when you call a function in R,
the arguments are not evaluated, and their forms can be recovered,
just as "plot" does. In f
Hint:
> all.vars(a)
Error in all.vars(a) : object 'a' not found
> all.vars(quote(a)) ## protects "a" from evaluation; quote(a) is a symbol
expression
[1] "a"
> all.vars(~a) ## a formula expression
[1] "a"
-- Bert
On Sat, Jun 1, 2019 at 6:43 PM Sorkin, John
wrote:
> Colleagues,
>
> Despite
Colleagues,
Despite Bert having tried to help me, I am still unable to perform a simple act
with a function. I want to pass the names of the columns of a dataframe along
with the name of the dataframe, and use the parameters to allow the function to
access the dataframe and modify its contents.
https://stat.ethz.ch/pipermail/r-help/2008-July/168230.html
or
ggplot2::geom_ribbon
On June 1, 2019 12:36:18 PM PDT, Michael Howell wrote:
>Good afternoon,
>I know that packages like r-forecast will create confidence intervals
>for
>forecasts which can then be plotted. However I am doing someth
Good afternoon,
I know that packages like r-forecast will create confidence intervals for
forecasts which can then be plotted. However I am doing something
experimental and would like to specify my own prediction distributions and
then graph them. Can anyone tell me if there is some package or func
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