Displaying 4 results from an estimated 4 matches for "df3c".
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df3
2024 Oct 18
1
DPLYR Multiple Mutate Statements On Same DataFrame
....x == 0 ~ 0,
.x == 1 ~ 5,
TRUE ~ -99
)),
MGODRK = case_when(
MGODRK == 0 ~ 0,
MGODRK == 1 ~ 5,
TRUE ~ -99
))
identical(df3, df3b)
# [1] TRUE
And you can have just one mutate, as long as you respect the order the
variables are changed.
df3c <- df0 %>%
mutate(
across(starts_with('P'), ~case_when(
.x == 0 ~ 0,
.x == 1 ~ 25,
.x == 2 ~ 75,
.x == 3 ~ 150,
.x == 4 ~ 350,
.x == 5 ~ 750,
.x == 6 ~ 3000,
.x == 7 ~ 7500,
.x == 8 ~ 15000,
.x == 9 ~ 30000,...
2010 Jan 13
3
Recovering a broken mirror
...861
0000440 e0b9 ae27 d084 19da 716d b0ca 67be 07ea
0000460 5650 268e eb2c d7cc 083d c1a8 55ac 4c3c
0000500 d699 f558 d353 dc61 e25b 2bb8 7d8c 249c
0000520 c853 258a 01cd b366 bad3 2599 f8ac b3dc
0000540 6783 72eb 9029 926b 72e6 c84c 3cd7 59e1
0000560 f122 f20e f8d8 f32f 8226 ceeb acd0 ccf0
0000600 df3c f3f5 1e71 5d67 da75 1d84 b177 d21b
0000620 5fa8 a340 6404 2bec 2884 1d62 83cc 2498
0000640 4288 cf67 c6de 0970 75fe 9e05 8ed8 2173
0000660 fd30 4ec8 9ea0 63ee bd3f 7a07 b01a d04b
0000700 8045 29a6 6203 9ed3 9c16 740f 335e 53d8
0000720 c70e 9c73 981a f0f1 3547 8b84 0651 b1fb
0000740 b5c8 4887 dafe 1...
2012 Jul 14
0
PCI passthrough troubles
...012-07-08 22:45:17.710+0000: 3764: error :
> virConnectNumOfInterfaces:10466 : this function is not supported by the
> connection driver: virConnectNumOfInterfaces
> 2012-07-08 22:46:13.494+0000: 3764: warning : qemuDomainObjTaint:1371 :
> Domain id=1 name='AED-VM' uuid=8f2892d8-df3c-6e75-0fe5-42c1ecd7835d is
> tainted: high-privileges
> 2012-07-08 22:46:13.725+0000: 3762: error : qemuMonitorIORead:526 : Unable
> to read from monitor: Connection reset by peer
> 2012-07-08 22:46:13.725+0000: 3762: error : qemuMonitorIO:582 : internal
> error event from unexpected...
2024 Oct 17
2
DPLYR Multiple Mutate Statements On Same DataFrame
Hi R Helpers,
I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this in a single step; so simply go from df0 to df1 while executing