It is still not clear to me (1) if you just want the printed output in
your SAS list file, or (2) if you want the actual numerical results
returned to SAS so that you can do more manipulation with the numbers.
If (1) you can precede your R code with sink() to output to your SAS
list file
#--------R libraries---------
sink('path/to/your/listfile.lst', append=TRUE)
library(tidyverse)
library(MF)
MFSubj(lesion ~ group, calflung)
HLBoot(lesion ~ group, calflung, compare = c("con", "vac"), b = 100,
B = 100, alpha = 0.05, hpd = TRUE, bca = FALSE,
return.boot = FALSE, trace.it <http://trace.it> = FALSE, seed
= NULL)
You will probably need to redirect your SAS list file to the same location
PROC PRINTTO file='path/to/your/listfile.lst' new;
If (2), then you need to store the output from you function into
variables that you can examine to see what you may want to import into
SAS. So, something like this in R
mfsubj <- MFSubj(lesion ~ group, calflung)
hlboot <- HLBoot(lesion ~ group, calflung, compare = c("con", "vac"), b
= 100,
B = 100, alpha = 0.05, hpd = TRUE, bca = FALSE,
return.boot = FALSE, trace.it = FALSE, seed = NULL)
str(mfsubj)
str(hlboot)
After examining the output, you will know what variables/dataframes you
want to import and you can use the functions provided by PROC IML for
that purpose. You will need to read the SAS documentation to understand
how to do that.
This is becoming off topic for R-Help, so let me end with suggesting you
pursue this question either on SAScommunity or the SAS-L listserve. You
might also want to look into SAS Viya for running your R code. If you
want to continue this off-list, I can try to help you more, but I will
need to better understand what it is that you want to get back into SAS.
Dan
On 8/23/2020 6:46 AM, Jomy Jose wrote:
Hi Daniel
Thanks,please find the code and output
#--------R libraries---------
library(tidyverse)
library(MF)
MFSubj(lesion ~ group, calflung)
HLBoot(lesion ~ group, calflung, compare = c("con", "vac"), b = 100,
B = 100, alpha = 0.05, hpd = TRUE, bca = FALSE,
return.boot = FALSE, trace.it <http://trace.it> = FALSE,
seed = NULL)
10000 bootstrap samples
95% confidence intervals
Comparing vac to con
Mitigated Fraction
observed median lower upper
Equal Tailed 0.44 0.4464 0.1360 0.7024
Highest Density 0.44 0.4464 0.1456 0.7088
Hodges-Lehmann
observed median lower upper
Equal Tailed -0.07335 -0.07125 -0.170425 -0.01480
Highest Density -0.07335 -0.07125 -0.156350 -0.00975
Quartile Differences (quartiles of vac - quartiles of con)
observed median lower upper
Q25 -0.041500 -0.041300 -0.10340 -0.000905
Q50 -0.112525 -0.111175 -0.28115 0.019350
Q75 -0.168000 -0.170425 -0.38650 0.030000
Quartiles of con
observed median lower upper
Q25 0.054000 0.054000 0.01525 0.11275
Q50 0.139275 0.139275 0.06140 0.31000
Q75 0.315000 0.315000 0.17300 0.45250
Quartiles of vac
observed median lower upper
Q25 0.01250 0.01250 0.00125 0.026000
Q50 0.02675 0.02675 0.01665 0.144575
Q75 0.14700 0.14700 0.02810 0.292000
Best
Jose
On Sun, Aug 23, 2020 at 2:44 AM Daniel Nordlund <djnordlund at gmail.com
<mailto:djnordlund at gmail.com>> wrote:
On 8/22/2020 9:05 AM, Rasmus Liland wrote:
> On 2020-08-22 08:17 +0530, Jomy Jose wrote:
> | Hi
> | I was able to run R code via PROC IML
> | in SAS,so is there any way to export
> | the generated outputs to SAS datasets
> | since the R outputs don't follow data
> | frame structure.
>
> Dear Jomy,
>
> But perhaps you can take the outputs in
> SAS and work on them inside from there?
>
> To export a data frame from R to SAS via
> a file[1], you can use
>
> foreign::write.foreign(..., package="SAS")
>
> But I have not tried it.
>
> I have used foreign::read.spss before,
> hehe :-)
>
> I know R is also possible to call from
> Julia, and the df appearing in Julia,
> this sounds like it should be possible
> SAS too[2], yes?
>
> Best,
> Rasmus
>
> [1] https://www.statmethods.net/input/exportingdata.html
>
> ______________________________________________
> R-help at r-project.org <mailto:R-help at r-project.org> mailing list
-- To UNSUBSCRIBE and more, see
> PLEASE do read the posting guide