[R] Help with R coding

Bill Poling B|||@Po||ng @end|ng |rom ze||@@com
Wed May 22 14:35:29 CEST 2019


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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