[R] Help with R coding

[Bill Poling]

Thank you William appreciate your response Sir.

WHP

From: William Michels <wjm1 using caa.columbia.edu>
Sent: Wednesday, May 22, 2019 9:58 AM
To: Bill Poling <Bill.Poling using zelis.com>
Cc: r-help (r-help using r-project.org) <r-help using r-project.org>
Subject: Re: [R] Help with R coding

Morning Bill, I take it this is dplyr? You might try:

tmp1 <- HCPC %>%
group_by(HCPCSCode) %>%
summarise(Avg_AllowByLimit =
mean(Avg_AllowByLimit[which(Avg_AllowByLimit!=0 & AllowByLimitFlag ==
TRUE)]))

The code above gives "NaN" for cases where AllowByLimitFlag == FALSE.
Maybe this is the answer you desire, otherwise you can filter out
"NaN" rows.

Cheers,

Bill.

W. Michels, Ph.D.


On Wed, May 22, 2019 at 5:41 AM Bill Poling <mailto:Bill.Poling using zelis.com> wrote:
>
> Good morning.
>
> #R version 3.6.0 Patched (2019-05-19 r76539)
> #Platform: x86_64-w64-mingw32/x64 (64-bit)
> #Running under: Windows >= 8 x64 (build 9200)
>
> I need a calculated field For the Rate of Avg_AllowByLimit where the Allowed_AmtFlag = TRUE BY Each Code
>
> I have almost got this.
>
> #So far I have this
> tmp1 <- tmp %>%
> group_by(HCPCSCode) %>%
> summarise(Avg_AllowByLimit = mean(Avg_AllowByLimit[which(Avg_AllowByLimit!=0)]))
>
> # But I need Something like that + This
>
> WHERE AllowByLimitFlag == TRUE
>
> I cannot seem to get it in there correctly
>
> Thank you for any help
>
> WHP
>
> #Here is some data
> HCPCSCode Avg_AllowByLimit AllowByLimitFlag
> 1 J1745 4.50 FALSE
> 2 J9299 18.70 FALSE
> 3 J9306 14.33 FALSE
> 4 J9355 7.13 FALSE
> 5 J0897 8.61 FALSE
> 6 J9034 3.32 FALSE
> 7 J9034 3.32 FALSE
> 8 J9045 15.60 FALSE
> 9 J9035 2.77 TRUE
> 10 J1190 3.62 FALSE
> 11 J2250 879.10 FALSE
> 12 J9033 2.92 FALSE
> 13 J1745 4.50 TRUE
> 14 J2785 12.11 FALSE
> 15 J9045 15.60 FALSE
> 16 J2350 7.81 FALSE
> 17 J2469 10.65 TRUE
> 18 J2796 6.27 FALSE
> 19 J2796 6.27 FALSE
> 20 J9355 7.13 FALSE
> 21 J9045 15.60 FALSE
> 22 J2505 2.73 FALSE
> 23 J1786 2.81 FALSE
> 24 J3262 3.26 FALSE
> 25 J0696 168.87 FALSE
> 26 J0178 1.52 TRUE
> 27 J9271 5.55 FALSE
> 28 J3380 80.99 FALSE
> 29 J9355 7.13 TRUE
> 30 J2469 10.65 FALSE
> 31 J9045 15.60 FALSE
> 32 J1459 3.64 FALSE
> 33 J9305 8.74 FALSE
> 34 J9034 3.32 FALSE
> 35 J9034 3.32 FALSE
>
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