Re: [R] Help with function and survey data
Dear Bert
Thank you for your suggestion. I have tried it but it did not work.
For record, I am reposting the post with the plain text.
library(tidyverse)
library(plyr)
library(survey)
dat <- structure(list(
r3a_1 = structure(c(3L, 2L, 3L, 3L, 3L, 3L, 3L,3L, 3L, 3L, 3L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_2 = structure(c(3L, 3L,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_3 = structure(c(3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know","No", "Yes"), class = "factor"),
r3a_4 = structure(c(3L,2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L,
2L, 3L, 2L, 2L,3L, 3L, 3L, 1L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_5 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L,2L, 3L,
2L, 3L, 3L, 2L, 3L, 2L, 3L, 1L),
.Label = c("Don't Know","No", "Yes"), class = "factor"),
r3a_6 = structure(c(3L,3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L,
2L, 2L, 2L, 3L,2L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_7 = structure(c(1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L,3L, 3L,
2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_8 = structure(c(3L,2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L,
2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_9 = structure(c(1L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,3L, 3L,
2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know","No", "Yes"), class = "factor"),
weight = c(0.34, 0.34, 0.34,0.34, 0.34, 0.34, 0.34, 0.34, 0.34,
0.34, 0.34, 0.34, 0.43, 0.43, 0.43, 0.34, 0.34, 0.34, 0.34, 0.34),
seg_2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,
2L, 1L, 1L, 1L,1L, 1L, 1L, 1L),
.Label = c("1", "2"), class = "factor"),
seg_3 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L,
2L, 1L, 1L, 1L,1L, 2L, 2L, 2L),
.Label = c("1", "2"), class = "factor"),
seg_4 = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L,
2L, 1L, 1L, 1L,1L, 1L, 1L, 1L),
.Label = c("1", "2"), class = "factor")),
.Names = c("r3a_1", "r3a_2", "r3a_3", "r3a_4", "r3a_5", "r3a_6",
"r3a_7", "r3a_8", "r3a_9", "weight", "seg_2","seg_3","seg_4"),
row.names = c(NA, 20L), class = "data.frame")
dat_weight <- svydesign(ids = ~1, weights = ~weight, data = dat)
my_funca <- function(mk,y){
my_re <- ldply( mk, function(x)
svytable(bquote(~ y + .(as.name(x))), dat_weight) %>%
as_tibble() %>%
dplyr::group_by({{y}}) %>%
transmute(!!(as.name(x)), Procent = round(n/sum(n,na.rm = T)*100,2)) %>%
pivot_wider(names_from = (as.name(x)),
values_from = Procent)
)
return(my_re)
}
my_funca(mk =names(dat)[1:9], y = dat$seg_2)
Regards,
Vincent Edjabou
Mobile: +45 31 95 99 33
linkedin.com/vincent
Orcid: -0003-2849-6151
Regards,
Vincent Edjabou
Mobile: +45 31 95 99 33
linkedin.com/vincent
Orcid: -0003-2849-6151
On Mon, Oct 31, 2022 at 5:21 PM Bert Gunter wrote:
>
> 1. This is a plain text list. Set your email to post in plain text, not html,
> which often gets mangled (see below).
>
> 2. I did not run your example, but try:
> my_funca(mk =names(dat)[1:9], y = dat$seg_2)
>
> ## seg_2 is a component of dat and is not in the environment of the call. I
> did not see any data argument that would tell it to look elsewhere, but I am
> not familiar with tidy_whatever's nonstandard evaluation conventions.
>
> -- Bert
>
> On Mon, Oct 31, 2022 at 8:39 AM Edjabou Vincent wrote:
>>
>> Dear R-Help
>> I am working with complex survey data using the survey package.
>> I would like to create a function for the generate multi crosstable. The
>> problem is that I am getting error with the following message:
>> "Error in eval(predvars, data, env) : object 'y' not found"
>>
>> Here is the example:
>> library(tidyverse)
>> library(plyr)
>> library(survey)
>>
>> dat <- structure(list(
>>r3a_1 = structure(c(3L, 2L, 3L, 3L, 3L, 3L, 3L,3L, 3L, 3L, 3L, 2L, 2L,
>> 3L, 3L, 3L, 3L, 3L, 3L, 3L),
>> .Label = c("Don't Know", "No", "Yes"), class = "factor"),
>> r3a_2 = structure(c(3L, 3L,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
>> 3L, 3L, 3L, 3L, 3L, 3L, 3L),
>> .Label = c("Don't Know", "No", "Yes"), class =
>> "factor"),
>> r3a_3 = structure(c(3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L,
>> 2L, 2L, 2L, 2L, 2L, 3L, 3L),
>> .Label = c("Don't Know","No", "Yes"), class =
>> "factor"),
>> r3a_4 = structure(c(3L,2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L,
>> 3L, 2L, 2L,3L, 3L, 3L, 1L),
>> .Label = c("Don't
Re: [R] Help with function and survey data
1. This is a plain text list. Set your email to post in plain text, not
html, which often gets mangled (see below).
2. I did not run your example, but try:
my_funca(mk =names(dat)[1:9], y = dat$seg_2)
## seg_2 is a component of dat and is not in the environment of the call. I
did not see any data argument that would tell it to look elsewhere, but I
am not familiar with tidy_whatever's nonstandard evaluation conventions.
-- Bert
On Mon, Oct 31, 2022 at 8:39 AM Edjabou Vincent wrote:
> Dear R-Help
> I am working with complex survey data using the survey package.
> I would like to create a function for the generate multi crosstable. The
> problem is that I am getting error with the following message:
> "Error in eval(predvars, data, env) : object 'y' not found"
>
> Here is the example:
> library(tidyverse)
> library(plyr)
> library(survey)
>
> dat <- structure(list(
>r3a_1 = structure(c(3L, 2L, 3L, 3L, 3L, 3L, 3L,3L, 3L, 3L, 3L, 2L, 2L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L),
> .Label = c("Don't Know", "No", "Yes"), class = "factor"),
> r3a_2 = structure(c(3L, 3L,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
> 3L, 3L, 3L, 3L, 3L, 3L, 3L),
> .Label = c("Don't Know", "No", "Yes"), class =
> "factor"),
> r3a_3 = structure(c(3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L,
> 2L, 2L, 2L, 2L, 2L, 3L, 3L),
> .Label = c("Don't Know","No", "Yes"), class =
> "factor"),
> r3a_4 = structure(c(3L,2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L,
> 3L, 2L, 2L,3L, 3L, 3L, 1L),
> .Label = c("Don't Know", "No", "Yes"), class =
> "factor"),
> r3a_5 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L,2L, 3L, 2L,
> 3L, 3L, 2L, 3L, 2L, 3L, 1L),
> .Label = c("Don't Know","No", "Yes"), class =
> "factor"),
> r3a_6 = structure(c(3L,3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L,
> 2L, 2L, 3L,2L, 3L, 3L, 3L),
> .Label = c("Don't Know", "No", "Yes"), class =
> "factor"),
> r3a_7 = structure(c(1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L,3L, 3L, 2L,
> 2L, 2L, 2L, 2L, 3L, 3L, 3L),
> .Label = c("Don't Know", "No", "Yes"), class =
> "factor"),
> r3a_8 = structure(c(3L,2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L,
> 3L, 3L, 2L, 2L, 2L, 3L, 3L),
> .Label = c("Don't Know", "No", "Yes"), class =
> "factor"),
> r3a_9 = structure(c(1L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,3L, 3L, 2L,
> 2L, 2L, 3L, 2L, 2L, 3L, 3L),
> .Label = c("Don't Know","No", "Yes"), class =
> "factor"),
> weight = c(0.34, 0.34, 0.34,0.34, 0.34, 0.34, 0.34, 0.34, 0.34, 0.34,
> 0.34, 0.34, 0.43, 0.43, 0.43, 0.34, 0.34, 0.34, 0.34, 0.34),
> seg_2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L,
> 1L, 1L, 1L,1L, 1L, 1L, 1L),
> .Label = c("1", "2"), class = "factor"),
> seg_3 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
> 1L, 1L, 1L,1L, 2L, 2L, 2L),
> .Label = c("1", "2"), class = "factor"),
> seg_4 = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
> 1L, 1L, 1L,1L, 1L, 1L, 1L),
> .Label = c("1", "2"), class = "factor")),
> .Names = c("r3a_1", "r3a_2", "r3a_3", "r3a_4", "r3a_5", "r3a_6", "r3a_7",
> "r3a_8", "r3a_9", "weight", "seg_2","seg_3","seg_4"), row.names = c(NA,
> 20L), class = "data.frame")
>
> dat_weight <- svydesign(ids = ~1, weights = ~weight, data = dat)
>
> my_funca <- function(mk,y){
>my_re <- ldply( mk, function(x)
> svytable(bquote(~ y + .(as.name(x))), dat_weight) %>%
> as_tibble() %>%
> dplyr::group_by({{y}}) %>%
> transmute(!!(as.name(x)), Procent = round(n/sum(n,na.rm =
> T)*100,2)) %>%
> pivot_wider(names_from = (as.name(x)),
> values_from = Procent)
>)
>return(my_re)
> }
>
> my_funca(mk =names(dat)[1:9], y = seg_2)
>
>
> I will appreciate any help you will provide.
>
>
>
>
> Regards,
>
> Vincent Edjabou
> Mobile: +45 31 95 99 33
> linkedin.com/vincent
>
>
> Orcid: -0003-2849-6151
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
[R] Help with function and survey data
Dear R-Help
I am working with complex survey data using the survey package.
I would like to create a function for the generate multi crosstable. The
problem is that I am getting error with the following message:
"Error in eval(predvars, data, env) : object 'y' not found"
Here is the example:
library(tidyverse)
library(plyr)
library(survey)
dat <- structure(list(
r3a_1 = structure(c(3L, 2L, 3L, 3L, 3L, 3L, 3L,3L, 3L, 3L, 3L, 2L, 2L,
3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class = "factor"),
r3a_2 = structure(c(3L, 3L,3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class =
"factor"),
r3a_3 = structure(c(3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know","No", "Yes"), class =
"factor"),
r3a_4 = structure(c(3L,2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L,
3L, 2L, 2L,3L, 3L, 3L, 1L),
.Label = c("Don't Know", "No", "Yes"), class =
"factor"),
r3a_5 = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L,2L, 3L, 2L,
3L, 3L, 2L, 3L, 2L, 3L, 1L),
.Label = c("Don't Know","No", "Yes"), class =
"factor"),
r3a_6 = structure(c(3L,3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L,
2L, 2L, 3L,2L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class =
"factor"),
r3a_7 = structure(c(1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 2L,3L, 3L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class =
"factor"),
r3a_8 = structure(c(3L,2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L,
3L, 3L, 2L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know", "No", "Yes"), class =
"factor"),
r3a_9 = structure(c(1L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,3L, 3L, 2L,
2L, 2L, 3L, 2L, 2L, 3L, 3L),
.Label = c("Don't Know","No", "Yes"), class =
"factor"),
weight = c(0.34, 0.34, 0.34,0.34, 0.34, 0.34, 0.34, 0.34, 0.34, 0.34,
0.34, 0.34, 0.43, 0.43, 0.43, 0.34, 0.34, 0.34, 0.34, 0.34),
seg_2 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L,
1L, 1L, 1L,1L, 1L, 1L, 1L),
.Label = c("1", "2"), class = "factor"),
seg_3 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,
1L, 1L, 1L,1L, 2L, 2L, 2L),
.Label = c("1", "2"), class = "factor"),
seg_4 = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,
1L, 1L, 1L,1L, 1L, 1L, 1L),
.Label = c("1", "2"), class = "factor")),
.Names = c("r3a_1", "r3a_2", "r3a_3", "r3a_4", "r3a_5", "r3a_6", "r3a_7",
"r3a_8", "r3a_9", "weight", "seg_2","seg_3","seg_4"), row.names = c(NA,
20L), class = "data.frame")
dat_weight <- svydesign(ids = ~1, weights = ~weight, data = dat)
my_funca <- function(mk,y){
my_re <- ldply( mk, function(x)
svytable(bquote(~ y + .(as.name(x))), dat_weight) %>%
as_tibble() %>%
dplyr::group_by({{y}}) %>%
transmute(!!(as.name(x)), Procent = round(n/sum(n,na.rm =
T)*100,2)) %>%
pivot_wider(names_from = (as.name(x)),
values_from = Procent)
)
return(my_re)
}
my_funca(mk =names(dat)[1:9], y = seg_2)
I will appreciate any help you will provide.
Regards,
Vincent Edjabou
Mobile: +45 31 95 99 33
linkedin.com/vincent
Orcid: -0003-2849-6151
[[alternative HTML version deleted]]
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R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Single pdf of all R vignettes request
You can see all the installed vignettes on your system with
`browseVignettes()`. (This opens a browser page.)
Alternatively `browseVignettes("pkgname")` for those related to a single
package.
HTH,
Eric
On Mon, Oct 31, 2022 at 11:37 AM Richard O'Keefe wrote:
> Let's put some numbers on that.
> The CRAN package repository claims 18770 packages.
> That excludes packages in other repositories, of
> course; the total collection of vignettes may not
> be discoverable.
> It could be useful to collect documents and vignettes
> and stuff them into an information retrieval system,
> but I cannot imagine a single PDF being usable.
>
> On Mon, 31 Oct 2022 at 08:34, Jeff Newmiller
> wrote:
>
> > No. It would be impractically large and would be out of date by the time
> > it was finished being assembled. And not all vignettes are built in PDF
> > form anyway.
> >
> > R packages are maintained by individuals or small teams completely
> > independently from R.
> >
> > On October 30, 2022 12:23:54 PM PDT, "Sun, John"
> > wrote:
> > >Dear All,
> > >
> > >I am writing to ask whether there exists a single pdf of all the
> > vignettes from R packages.
> > >This would be good resource.
> > >
> > >Best regards,
> > >John
> > >
> > >__
> > >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > >https://stat.ethz.ch/mailman/listinfo/r-help
> > >PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > >and provide commented, minimal, self-contained, reproducible code.
> >
> > --
> > Sent from my phone. Please excuse my brevity.
> >
> > __
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Single pdf of all R vignettes request
Let's put some numbers on that. The CRAN package repository claims 18770 packages. That excludes packages in other repositories, of course; the total collection of vignettes may not be discoverable. It could be useful to collect documents and vignettes and stuff them into an information retrieval system, but I cannot imagine a single PDF being usable. On Mon, 31 Oct 2022 at 08:34, Jeff Newmiller wrote: > No. It would be impractically large and would be out of date by the time > it was finished being assembled. And not all vignettes are built in PDF > form anyway. > > R packages are maintained by individuals or small teams completely > independently from R. > > On October 30, 2022 12:23:54 PM PDT, "Sun, John" > wrote: > >Dear All, > > > >I am writing to ask whether there exists a single pdf of all the > vignettes from R packages. > >This would be good resource. > > > >Best regards, > >John > > > >__ > >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >https://stat.ethz.ch/mailman/listinfo/r-help > >PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > >and provide commented, minimal, self-contained, reproducible code. > > -- > Sent from my phone. Please excuse my brevity. > > __ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] [Rd] R 4.2.2 is released
The build system rolled up R-4.2.2.tar.gz (codename "Innocent and Trusting") this morning. The list below details the changes in this release. You can get the source code from https://cran.r-project.org/src/base/R-4/R-4.2.2.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are the checksums (md5 and SHA-256) for the freshly created files, in case you wish to check that they are uncorrupted: MD5 (AUTHORS) = 320967884b547734d6279dedbc739dd4 MD5 (COPYING) = eb723b61539feef013de476e68b5c50a MD5 (COPYING.LIB) = a6f89e2100d9b6cdffcea4f398e37343 MD5 (FAQ) = 1ff069b3d34234bb6df71298380da3a8 MD5 (INSTALL) = 7893f754308ca31f1ccf62055090ad7b MD5 (NEWS) = df3c0a29151cfbc40e6a07a5ad398de1 MD5 (NEWS.0) = bfcd7c147251b5474d96848c6f57e5a8 MD5 (NEWS.1) = eb78c4d053ec9c32b815cf0c2ebea801 MD5 (NEWS.2) = b38d94569700664205a76a7de836ba83 MD5 (NEWS.3) = e55ed2c8a547b827b46e08eb7137ba23 MD5 (R-latest.tar.gz) = b154500667b5ebb480f1086dd817f017 MD5 (README) = f468f281c919665e276a1b691decbbe6 MD5 (RESOURCES) = a79b9b338cab09bd665f6b62ac6f455b MD5 (THANKS) = 45b6d2e88a6ecb5b24fa33a781351cd5 MD5 (VERSION-INFO.dcf) = 7c5057ff5958b2312a88556487fae295 MD5 (R-4/R-4.2.2.tar.gz) = b154500667b5ebb480f1086dd817f017 60a0d150e6fc1f424be76ad7b645d236b56e747692a4679f81ce6536c550e949 AUTHORS e6d6a009505e345fe949e1310334fcb0747f28dae2856759de102ab66b722cb4 COPYING 6095e9ffa777dd22839f7801aa845b31c9ed07f3d6bf8a26dc5d2dec8ccc0ef3 COPYING.LIB d8cfbd44efe3311bc2d4a71a0850c50aebc18a21affac951898a3b6b45dfe777 FAQ f87461be6cbaecc4dce44ac58e5bd52364b0491ccdadaf846cb9b452e9550f31 INSTALL f9700348b098129906da3489ce7299f86ded993aac2a8861349b1935652f8f6d NEWS 4e21b62f515b749f80997063fceab626d7258c7d650e81a662ba8e0640f12f62 NEWS.0 12b30c724117b1b2b11484673906a6dcd48a361f69fc420b36194f9218692d01 NEWS.1 cde079b6beab7d700d3d4ecda494e2681ad3b7f8fab13b68be090f949393ec62 NEWS.2 1910a2405300b9bc7c76beeb0753a5249cf799afe175ce28f8d782fab723e012 NEWS.3 0ff62b42ec51afa5713caee7c4fde7a0c45940ba39bef8c5c9487fef0c953df5 R-latest.tar.gz 2fdd3e90f23f32692d4b3a0c0452f2c219a10882033d1774f8cadf25886c3ddc README 8b7d3856100220f4555d4d57140829f2e81c27eccec5b441f5dce616e9ec9061 RESOURCES 8319c5415de58ee10d4bc058d79c370fd8e6b2ad09e25d7a1e04b74ca5f380a6 THANKS 4bf8efc154e3f48800a9ddd1dd5bf333d3cf4f7e943876372699dab76e693318 VERSION-INFO.dcf 0ff62b42ec51afa5713caee7c4fde7a0c45940ba39bef8c5c9487fef0c953df5 R-4/R-4.2.2.tar.gz This is the relevant part of the NEWS file CHANGES IN R 4.2.2: NEW FEATURES: * tools::Rdiff(useDiff = TRUE) checks for the presence of an external diff command and switches to useDiff = FALSE if none is found. This allows R CMD Rdiff to always work. * On Windows, environment variable R_LIBCURL_SSL_REVOKE_BEST_EFFORT can be used to switch to only 'best-effort' SSL certificate revocation checks with the default "libcurl" download method. This reduces security, but may be needed for downloads to work with MITM proxies (PR#18379). * (macOS) The run-time check for libraries from XQuartz for X11 and Tcl/Tk no longer uses otool from the Apple Developer Tools (PR#18400). * The LaTeX style for producing the PDF manuals, Rd.sty, now loads the standard amsmath, amsfonts and amssymb packages for greater coverage of math commands in the Rd \eqn and \deqn macros. The \mathscr LaTeX command is also provided (via the mathrsfs package, if available, or the amsfonts bundle otherwise), fulfilling the wish of PR#18398. * (Windows) The default format of readClipboard() and writeClipboard() has been changed to 13 (CF_UNICODETEXT). INSTALLATION on a UNIX-ALIKE: * The PDF manuals (if built) can be compacted by the new target make compact-pdf (at the top level or in directory doc/manual). * There is now configure support for LLVM clang 15 on Linux, which defaults to position-independent (PIE) executables whereas gfortran does not. * Many small changes to ease compilation (and suppress warnings) with LLVM clang 15. BUG FIXES: * Rscript -e would fail if stdin were closed (Reported by Henrik Bengtsson.) * qt(*, log.p=TRUE) in outer tails no longer produces NaN in its final steps, thus fixing PR#18360. * tools::Rd2latex() now escapes hashes and ampersands when writing URLs, fixing LaTeX errors with such URLs in \tabular. * When isGeneric(f, fdef=*) is used with mismatching names, the warning is better understandable; reported (with fix) in PR#18370 by Gabe Becker. * poly(x, n) now works again (and is now documented) when x is a "Date" or "POSIXct" object, or of another class while fulfilling mode(x) == "numeric". This also enables poly(x, *, raw=TRUE) for such variables. Reported by Michael Chirico to R-devel.
