Here is an example of my Data. I am trying to extend the existing Hour_of_Day values down to fill in the missing information. I would appreciate some guidance in this area. Thank You!
Hour_of_Day Counter Name People In People Out Day_of_Week Month_Day Year
1 12:00 AM Main 4 2 Thursday April 01 2021
2 <NA> FLgate1 3 2 Thursday April 01 2021
3 <NA> FLgate1.Counter1 0 0 Thursday April 01 2021
4 <NA> FLgate1.Counter2 3 2 Thursday April 01 2021
5 <NA> FLgate2.Counter1 0 0 Thursday April 01 2021
6 <NA> FLgate2.Counter2 0 0 Thursday April 01 2021
7 <NA> FLgate2 1 0 Thursday April 01 2021
8 <NA> RFIDGateFL3.Aisle1 0 0 Thursday April 01 2021
9 <NA> RFIDGateFL3.Aisle2 1 0 Thursday April 01 2021
10 <NA> RFIDGateFL3.Aisle3 0 0 Thursday April 01 2021
11 1:00 AM Main 0 0 Thursday April 01 2021
12 <NA> FLgate1 0 0 Thursday April 01 2021
13 <NA> FLgate1.Counter1 0 0 Thursday April 01 2021
14 <NA> FLgate1.Counter2 0 0 Thursday April 01 2021
15 <NA> FLgate2.Counter1 0 0 Thursday April 01 2021
16 <NA> FLgate2.Counter2 0 0 Thursday April 01 2021
17 <NA> FLgate2 0 0 Thursday April 01 2021
18 <NA> RFIDGateFL3.Aisle1 0 0 Thursday April 01 2021
Here is a base R option with cumsum
+ is.na
transform(
df,
Hour_of_Day = c(NA, na.omit(Hour_of_Day))[cumsum(!is.na(Hour_of_Day)) + 1]
)
We can use fill
from tidyr
library(tidyr)
fill(df1, Hour_of_Day)
Or use na.locf0
from zoo
library(zoo)
df1$Hour_of_Day <- na.locf0(df1$Hour_of_Day)
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