How to fill missing data according to the date previous and next to it in R?
1
Two more questions about this topic:
A
B
Take Fig.1 as an example, we can see that data in 10/12/2016 12:07 is missing. I want to use the previous and next row of data (i.e., 10/10/2016 10:50 5.73; 10/24/2016 08:53 6.09) to linear interpolate this missing data (not the mean value of "5.73" and "6.09", but
according to the "date"). The example data file is attached below:
09/26/2016 11:57 5.42
10/10/2016 10:50 5.73
10/12/2016 12:07
10/24/2016 08:53 6.09
11/07/2016 11:25 6.43
11/21/2016 13:57 6.33
12/05/2016 14:01 7.97
12/19/2016 13:00 8.47
You can see Fig.2, we can use "Trend()" to attain this goal.
=TREND(M22:M23,L22:L23,O22)
I was wondering if there is a useful function as well in R?
r datetime
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
asked Nov 14 '18 at 3:41
T XT X
83116
|
show 2 more comments
1
Two more questions about this topic:
A
B
Take Fig.1 as an example, we can see that data in 10/12/2016 12:07 is missing. I want to use the previous and next row of data (i.e., 10/10/2016 10:50 5.73; 10/24/2016 08:53 6.09) to linear interpolate this missing data (not the mean value of "5.73" and "6.09", but
according to the "date"). The example data file is attached below:
09/26/2016 11:57 5.42
10/10/2016 10:50 5.73
10/12/2016 12:07
10/24/2016 08:53 6.09
11/07/2016 11:25 6.43
11/21/2016 13:57 6.33
12/05/2016 14:01 7.97
12/19/2016 13:00 8.47
You can see Fig.2, we can use "Trend()" to attain this goal.
=TREND(M22:M23,L22:L23,O22)
I was wondering if there is a useful function as well in R?
r datetime
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
asked Nov 14 '18 at 3:41
T XT X
83116
Pls post data no pictures! Check out?dput.
– vaettchen
Nov 14 '18 at 4:02
You could do a weighted average, so if the previous date is closer to the missing date it's weighted more.
– mickey
Nov 14 '18 at 4:03
Have a look atdifftime. Then you can get two time differences: "before and missing" and "missing and after". The value you can interpolate by "value before" + "value after" * diff1 / (diff1 + diff2)
– CIAndrews
Nov 14 '18 at 5:05
I'm so sorry I didn't post data. I have uploaded it.@vaettchen
– T X
Nov 14 '18 at 7:33
Thanks!@CIAndrews. Yet I'am afraid your equation should be: "value before" + "value after - value before" * diff1 / (diff1 + diff2)
– T X
Nov 14 '18 at 7:53
|
show 2 more comments
1
1
1
Two more questions about this topic:
A
B
Take Fig.1 as an example, we can see that data in 10/12/2016 12:07 is missing. I want to use the previous and next row of data (i.e., 10/10/2016 10:50 5.73; 10/24/2016 08:53 6.09) to linear interpolate this missing data (not the mean value of "5.73" and "6.09", but
according to the "date"). The example data file is attached below:
09/26/2016 11:57 5.42
10/10/2016 10:50 5.73
10/12/2016 12:07
10/24/2016 08:53 6.09
11/07/2016 11:25 6.43
11/21/2016 13:57 6.33
12/05/2016 14:01 7.97
12/19/2016 13:00 8.47
You can see Fig.2, we can use "Trend()" to attain this goal.
=TREND(M22:M23,L22:L23,O22)
I was wondering if there is a useful function as well in R?
r datetime
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
asked Nov 14 '18 at 3:41
T XT X
83116
Two more questions about this topic:
A
B
Take Fig.1 as an example, we can see that data in 10/12/2016 12:07 is missing. I want to use the previous and next row of data (i.e., 10/10/2016 10:50 5.73; 10/24/2016 08:53 6.09) to linear interpolate this missing data (not the mean value of "5.73" and "6.09", but
according to the "date"). The example data file is attached below:
09/26/2016 11:57 5.42
10/10/2016 10:50 5.73
10/12/2016 12:07
10/24/2016 08:53 6.09
11/07/2016 11:25 6.43
11/21/2016 13:57 6.33
12/05/2016 14:01 7.97
12/19/2016 13:00 8.47
You can see Fig.2, we can use "Trend()" to attain this goal.
=TREND(M22:M23,L22:L23,O22)
I was wondering if there is a useful function as well in R?
r datetime
r datetime
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
asked Nov 14 '18 at 3:41
T XT X
83116
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
asked Nov 14 '18 at 3:41
T XT X
83116
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
edited Nov 15 '18 at 7:25
zx8754
29.7k76399
29.7k76399
asked Nov 14 '18 at 3:41
T XT X
83116
asked Nov 14 '18 at 3:41
T XT X
83116
asked Nov 14 '18 at 3:41
T XT X
83116
83116
Pls post data no pictures! Check out?dput.
– vaettchen
Nov 14 '18 at 4:02
You could do a weighted average, so if the previous date is closer to the missing date it's weighted more.
– mickey
Nov 14 '18 at 4:03
Have a look atdifftime. Then you can get two time differences: "before and missing" and "missing and after". The value you can interpolate by "value before" + "value after" * diff1 / (diff1 + diff2)
– CIAndrews
Nov 14 '18 at 5:05
I'm so sorry I didn't post data. I have uploaded it.@vaettchen
– T X
Nov 14 '18 at 7:33
Thanks!@CIAndrews. Yet I'am afraid your equation should be: "value before" + "value after - value before" * diff1 / (diff1 + diff2)
– T X
Nov 14 '18 at 7:53
|
show 2 more comments
Pls post data no pictures! Check out?dput.
– vaettchen
Nov 14 '18 at 4:02
You could do a weighted average, so if the previous date is closer to the missing date it's weighted more.
– mickey
Nov 14 '18 at 4:03
Have a look atdifftime. Then you can get two time differences: "before and missing" and "missing and after". The value you can interpolate by "value before" + "value after" * diff1 / (diff1 + diff2)
– CIAndrews
Nov 14 '18 at 5:05
I'm so sorry I didn't post data. I have uploaded it.@vaettchen
– T X
Nov 14 '18 at 7:33
Thanks!@CIAndrews. Yet I'am afraid your equation should be: "value before" + "value after - value before" * diff1 / (diff1 + diff2)
– T X
Nov 14 '18 at 7:53
Pls post data no pictures! Check out
?dput.– vaettchen
Nov 14 '18 at 4:02
Pls post data no pictures! Check out
?dput.– vaettchen
Nov 14 '18 at 4:02
You could do a weighted average, so if the previous date is closer to the missing date it's weighted more.
– mickey
Nov 14 '18 at 4:03
You could do a weighted average, so if the previous date is closer to the missing date it's weighted more.
– mickey
Nov 14 '18 at 4:03
Have a look at
difftime. Then you can get two time differences: "before and missing" and "missing and after". The value you can interpolate by "value before" + "value after" * diff1 / (diff1 + diff2)– CIAndrews
Nov 14 '18 at 5:05
Have a look at
difftime. Then you can get two time differences: "before and missing" and "missing and after". The value you can interpolate by "value before" + "value after" * diff1 / (diff1 + diff2)– CIAndrews
Nov 14 '18 at 5:05
I'm so sorry I didn't post data. I have uploaded it.@vaettchen
– T X
Nov 14 '18 at 7:33
I'm so sorry I didn't post data. I have uploaded it.@vaettchen
– T X
Nov 14 '18 at 7:33
Thanks!@CIAndrews. Yet I'am afraid your equation should be: "value before" + "value after - value before" * diff1 / (diff1 + diff2)
– T X
Nov 14 '18 at 7:53
Thanks!@CIAndrews. Yet I'am afraid your equation should be: "value before" + "value after - value before" * diff1 / (diff1 + diff2)
– T X
Nov 14 '18 at 7:53
|
show 2 more comments
1 Answer
1
active
oldest
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2
Example data:
df <- data.frame(date = mdy_hm(
c("10/10/2016 10:50",
"10/12/2016 12:07",
"10/24/2016 08:53")),
figure = c(5.73, NA_real_, 6.09))
Using the zoo package:
library(zoo)
library(magrittr)
zoo(df$figure, df$date) %>%
na.approx() %>%
as.data.frame()
Using lubridate and dplyr
library(dplyr)
library(lubridate)
df %>%
mutate(figure = ifelse(is.na(figure),
lag(figure, 1) + (lead(figure, 1) - lag(figure, 1)) *
as.numeric(difftime(date, lag(date, 1))) /
as.numeric((difftime(lead(date, 1), date) + difftime(date, lag(date, 1)))),
figure)) %>%
mutate(figure = round(figure, 2))
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
2
Example data:
df <- data.frame(date = mdy_hm(
c("10/10/2016 10:50",
"10/12/2016 12:07",
"10/24/2016 08:53")),
figure = c(5.73, NA_real_, 6.09))
Using the zoo package:
library(zoo)
library(magrittr)
zoo(df$figure, df$date) %>%
na.approx() %>%
as.data.frame()
Using lubridate and dplyr
library(dplyr)
library(lubridate)
df %>%
mutate(figure = ifelse(is.na(figure),
lag(figure, 1) + (lead(figure, 1) - lag(figure, 1)) *
as.numeric(difftime(date, lag(date, 1))) /
as.numeric((difftime(lead(date, 1), date) + difftime(date, lag(date, 1)))),
figure)) %>%
mutate(figure = round(figure, 2))
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
add a comment |
2
Example data:
df <- data.frame(date = mdy_hm(
c("10/10/2016 10:50",
"10/12/2016 12:07",
"10/24/2016 08:53")),
figure = c(5.73, NA_real_, 6.09))
Using the zoo package:
library(zoo)
library(magrittr)
zoo(df$figure, df$date) %>%
na.approx() %>%
as.data.frame()
Using lubridate and dplyr
library(dplyr)
library(lubridate)
df %>%
mutate(figure = ifelse(is.na(figure),
lag(figure, 1) + (lead(figure, 1) - lag(figure, 1)) *
as.numeric(difftime(date, lag(date, 1))) /
as.numeric((difftime(lead(date, 1), date) + difftime(date, lag(date, 1)))),
figure)) %>%
mutate(figure = round(figure, 2))
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
add a comment |
2
2
2
Example data:
df <- data.frame(date = mdy_hm(
c("10/10/2016 10:50",
"10/12/2016 12:07",
"10/24/2016 08:53")),
figure = c(5.73, NA_real_, 6.09))
Using the zoo package:
library(zoo)
library(magrittr)
zoo(df$figure, df$date) %>%
na.approx() %>%
as.data.frame()
Using lubridate and dplyr
library(dplyr)
library(lubridate)
df %>%
mutate(figure = ifelse(is.na(figure),
lag(figure, 1) + (lead(figure, 1) - lag(figure, 1)) *
as.numeric(difftime(date, lag(date, 1))) /
as.numeric((difftime(lead(date, 1), date) + difftime(date, lag(date, 1)))),
figure)) %>%
mutate(figure = round(figure, 2))
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
Example data:
df <- data.frame(date = mdy_hm(
c("10/10/2016 10:50",
"10/12/2016 12:07",
"10/24/2016 08:53")),
figure = c(5.73, NA_real_, 6.09))
Using the zoo package:
library(zoo)
library(magrittr)
zoo(df$figure, df$date) %>%
na.approx() %>%
as.data.frame()
Using lubridate and dplyr
library(dplyr)
library(lubridate)
df %>%
mutate(figure = ifelse(is.na(figure),
lag(figure, 1) + (lead(figure, 1) - lag(figure, 1)) *
as.numeric(difftime(date, lag(date, 1))) /
as.numeric((difftime(lead(date, 1), date) + difftime(date, lag(date, 1)))),
figure)) %>%
mutate(figure = round(figure, 2))
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
edited Nov 14 '18 at 10:21
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
answered Nov 14 '18 at 6:53
Jay AcharJay Achar
1357
1357
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
add a comment |
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Appreciate it. I tried your code, and the result is "13.92" for "2016-10-12 12:07:00". However, I think this value may be wrong. Because what I want to fill is like CIAndrews says in Comments. So the result should be "5.78". You can see my edited question, I have changed it with an example in Excel.
– T X
Nov 14 '18 at 8:00
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
Updated following your comment.
– Jay Achar
Nov 14 '18 at 8:46
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
I was wondering if you could see the question (stackoverflow.com/questions/53302125/…) when you have time. This extra question is another 50% part of the whole "missing data" problem.
– T X
Nov 14 '18 at 14:11
add a comment |
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Pls post data no pictures! Check out
?dput.– vaettchen
Nov 14 '18 at 4:02
You could do a weighted average, so if the previous date is closer to the missing date it's weighted more.
– mickey
Nov 14 '18 at 4:03
Have a look at
difftime. Then you can get two time differences: "before and missing" and "missing and after". The value you can interpolate by "value before" + "value after" * diff1 / (diff1 + diff2)– CIAndrews
Nov 14 '18 at 5:05
I'm so sorry I didn't post data. I have uploaded it.@vaettchen
– T X
Nov 14 '18 at 7:33
Thanks!@CIAndrews. Yet I'am afraid your equation should be: "value before" + "value after - value before" * diff1 / (diff1 + diff2)
– T X
Nov 14 '18 at 7:53