Combine two dataframe with different row number and interpolation between values

 Dear Tim;
The dplyr did not work for me. My data frames have exactly similar columns
but different row numbers.
Mr Petr sent this code and the code worked but it copied the second
dataframe into the first one and did not replace the corresponding row.

df3 = merge(df1, df2, all = TRUE)

Regarding filling the "NA" data, it does not matter for me to interpolate
between numbers or put the mean of numbers.
Sincerely






On Wed, Aug 31, 2022 at 5:17 PM Ebert,Timothy Aaron <tebert at ufl.edu> wrote:

Can I interest you in the join functions in dplyr?
https://www.datasciencemadesimple.com/join-in-r-merge-in-r/

Filling in missing data is a useful practice when the fake (simulated)
data is a small proportion of all data. When 2/3 of the data is fake one
must wonder if anything based on those numbers is real or an artifact of
assumptions made to generate the numbers.

I deal with weather data and some weather stations are set up to average
measurements between recorded values and others take a single reading at
regular intervals. How you interpolate might depend on which option
describes your data. The alternative is to use the method for recording ws
and apply it to the other data that will be merged with these data. I
assume there is more data, otherwise I see little point in expanding these
values out.

Tim

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of javad bayat
Sent: Wednesday, August 31, 2022 2:09 AM
To: r-help at r-project.org
Subject: [R] Combine two dataframe with different row number and
interpolation between values

[External Email]

 Dear all,
I am trying to combine two large dataframe in order to make a dataframe
with exactly the dimension of the second dataframe.
The first df is as follows:

df1 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each = 2920), d =
rep(c(1:365,1:365,1:365,1:365,1:365),each=8),
      h = rep(c(seq(3,24, by = 3),seq(3,24, by = 3),seq(3,24, by =
3),seq(3,24, by = 3),seq(3,24, by = 3)),365),
      ws = rnorm(1:14600, mean=20))

head(df1)

     y       d   h        ws
1  2010  1  3     20.71488
2  2010  1  6     19.70125
3  2010  1  9     21.00180
4  2010  1 12     20.29236
5  2010  1 15     20.12317
6  2010  1 18     19.47782

The data in the "ws" column were measured with 3 hours frequency and I
need data with one hour frequency. I have made a second df as follows with
one hour frequency for the "ws" column.

df2 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each = 8760), d =
rep(c(1:365,1:365,1:365,1:365,1:365),each=24),
      h = rep(c(1:24,1:24,1:24,1:24,1:24),365), ws = "NA")

head(df2)

      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   NA
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   NA

What I am trying to do is combine these two dataframes so as to the rows in
df1 (based on the values of "y", "d", "h" columns) that have values
exactly similar to df2's rows copied in its place in the new df (df3).
For example, in the first dataframe the first row was measured at 3
o'clock on the first day of 2010 and this row must be placed on the third
row of the second dataframe which has a similar value (2010, 1, 3). Like
the below
table:
      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   20.71488
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   19.70125

But regarding the values of the "ws" column for df2 that do not have value
(at 4 and 5 o'clock), I need to interpolate between the before and after
values to fill in the missing data of the "ws".
I have tried the following codes but they did not work correctly.

df3 = merge(df1, df2, by = "y")

Error: cannot allocate vector of size 487.9 Mb or

library(dplyr)
df3<- df1%>% full_join(df2)

Is there any way to do this?
Sincerely





--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

        [[alternative HTML version deleted]]

--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

        [[alternative HTML version deleted]]

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of javad bayat
Sent: Thursday, September 1, 2022 7:24 AM
To: Ebert,Timothy Aaron <tebert at ufl.edu>
Cc: r-help at r-project.org
Subject: Re: [R] Combine two dataframe with different row number and
interpolation between values

 Dear Tim;
The dplyr did not work for me. My data frames have exactly similar columns

different row numbers.
Mr Petr sent this code and the code worked but it copied the second

into the first one and did not replace the corresponding row.

df3 = merge(df1, df2, all = TRUE)

Regarding filling the "NA" data, it does not matter for me to interpolate

numbers or put the mean of numbers.
Sincerely






On Wed, Aug 31, 2022 at 5:17 PM Ebert,Timothy Aaron <tebert at ufl.edu>
wrote:

Can I interest you in the join functions in dplyr?
https://www.datasciencemadesimple.com/join-in-r-merge-in-r/

Filling in missing data is a useful practice when the fake (simulated)
data is a small proportion of all data. When 2/3 of the data is fake
one must wonder if anything based on those numbers is real or an
artifact of assumptions made to generate the numbers.

I deal with weather data and some weather stations are set up to
average measurements between recorded values and others take a single
reading at regular intervals. How you interpolate might depend on
which option describes your data. The alternative is to use the method
for recording ws and apply it to the other data that will be merged
with these data. I assume there is more data, otherwise I see little
point in expanding these values out.

Tim

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of javad bayat
Sent: Wednesday, August 31, 2022 2:09 AM
To: r-help at r-project.org
Subject: [R] Combine two dataframe with different row number and
interpolation between values

[External Email]

 Dear all,
I am trying to combine two large dataframe in order to make a
dataframe with exactly the dimension of the second dataframe.
The first df is as follows:

df1 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each = 2920), d
= rep(c(1:365,1:365,1:365,1:365,1:365),each=8),
      h = rep(c(seq(3,24, by = 3),seq(3,24, by = 3),seq(3,24, by =
3),seq(3,24, by = 3),seq(3,24, by = 3)),365),
      ws = rnorm(1:14600, mean=20))

head(df1)

     y       d   h        ws
1  2010  1  3     20.71488
2  2010  1  6     19.70125
3  2010  1  9     21.00180
4  2010  1 12     20.29236
5  2010  1 15     20.12317
6  2010  1 18     19.47782

The data in the "ws" column were measured with 3 hours frequency and I
need data with one hour frequency. I have made a second df as follows
with one hour frequency for the "ws" column.

df2 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each = 8760), d
= rep(c(1:365,1:365,1:365,1:365,1:365),each=24),
      h = rep(c(1:24,1:24,1:24,1:24,1:24),365), ws = "NA")

head(df2)

      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   NA
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   NA

What I am trying to do is combine these two dataframes so as to the
rows in
df1 (based on the values of "y", "d", "h" columns) that have values
exactly similar to df2's rows copied in its place in the new df (df3).
For example, in the first dataframe the first row was measured at 3
o'clock on the first day of 2010 and this row must be placed on the
third row of the second dataframe which has a similar value (2010, 1,
3). Like the below
table:
      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   20.71488
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   19.70125

But regarding the values of the "ws" column for df2 that do not have
value (at 4 and 5 o'clock), I need to interpolate between the before
and after values to fill in the missing data of the "ws".
I have tried the following codes but they did not work correctly.

df3 = merge(df1, df2, by = "y")

Error: cannot allocate vector of size 487.9 Mb or

library(dplyr)
df3<- df1%>% full_join(df2)

Is there any way to do this?
Sincerely





--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

        [[alternative HTML version deleted]]

help&data=05%7C01%7Ctebert%40ufl

.edu%7C9e63e590cb834ddc23d908da8b1802e2%7C0d4da0f84a314d76ace6
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1b84%7C0%7C0%7C637975232519465332%7CUnknown%7CTWFpbGZsb3d8
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--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

	[[alternative HTML version deleted]]

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Jim Lemon
Sent: Thursday, September 1, 2022 11:31 AM
To: javad bayat <j.bayat194 at gmail.com>; r-help mailing list <r-help at r-
project.org>
Subject: Re: [R] Combine two dataframe with different row number and
interpolation between values

Hi Javad,
You seem to have the data frame join worked out, so here is a function
to interpolate over sequences of NAs. I have found it quite useful.

# interpolate over sequences of NAs
# NA sequences at the beginning of a file are replaced with the first
nonNA value
# NA sequences at the end are filled with the last nonNA value
# sequences of all NAs are returned unaltered
interpNA<-function(x) {
 if(any(is.na(x))) {
  xrle<-rle(is.na(x))
  begin<-end<-1
  # if the sequence begins with NA
  # set the initial run of NAs to the 1st non-NA
  if(is.na(x[1])) x[1:xrle$lengths[1]]<-x[xrle$lengths[1]+1]
  for(i in 1:length(xrle$values)) {
   # if this is a run of NA, fill it
   if(xrle$values[i]) {
    end<-begin+xrle$lengths[i]+(i>1)
    if(is.na(x[end])) x[begin:(end-1)]<-x[begin]
    else x[begin:end]<-seq(x[begin],x[end],length.out=1+end-begin)
    begin<-end+xrle$lengths[i]-1
  }
   else {
    # set begin to the end of the non-NA values
    begin<-end+xrle$lengths[i]-1
   }
  }
 }
 return(x)
}

Jim

On Thu, Sep 1, 2022 at 3:29 PM javad bayat <j.bayat194 at gmail.com> wrote:

 Dear Tim;
The dplyr did not work for me. My data frames have exactly similar

but different row numbers.
Mr Petr sent this code and the code worked but it copied the second
dataframe into the first one and did not replace the corresponding row.

df3 = merge(df1, df2, all = TRUE)

Regarding filling the "NA" data, it does not matter for me to

between numbers or put the mean of numbers.
Sincerely






On Wed, Aug 31, 2022 at 5:17 PM Ebert,Timothy Aaron <tebert at ufl.edu>

wrote:

Can I interest you in the join functions in dplyr?
https://www.datasciencemadesimple.com/join-in-r-merge-in-r/

Filling in missing data is a useful practice when the fake (simulated)
data is a small proportion of all data. When 2/3 of the data is fake

must wonder if anything based on those numbers is real or an artifact

assumptions made to generate the numbers.

I deal with weather data and some weather stations are set up to

measurements between recorded values and others take a single reading

regular intervals. How you interpolate might depend on which option
describes your data. The alternative is to use the method for

and apply it to the other data that will be merged with these data. I
assume there is more data, otherwise I see little point in expanding

values out.

Tim

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of javad bayat
Sent: Wednesday, August 31, 2022 2:09 AM
To: r-help at r-project.org
Subject: [R] Combine two dataframe with different row number and
interpolation between values

[External Email]

 Dear all,
I am trying to combine two large dataframe in order to make a

with exactly the dimension of the second dataframe.
The first df is as follows:

df1 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each = 2920), d

rep(c(1:365,1:365,1:365,1:365,1:365),each=8),
      h = rep(c(seq(3,24, by = 3),seq(3,24, by = 3),seq(3,24, by =
3),seq(3,24, by = 3),seq(3,24, by = 3)),365),
      ws = rnorm(1:14600, mean=20))

head(df1)

     y       d   h        ws
1  2010  1  3     20.71488
2  2010  1  6     19.70125
3  2010  1  9     21.00180
4  2010  1 12     20.29236
5  2010  1 15     20.12317
6  2010  1 18     19.47782

The data in the "ws" column were measured with 3 hours frequency and I
need data with one hour frequency. I have made a second df as follows

one hour frequency for the "ws" column.

df2 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each = 8760), d

rep(c(1:365,1:365,1:365,1:365,1:365),each=24),
      h = rep(c(1:24,1:24,1:24,1:24,1:24),365), ws = "NA")

head(df2)

      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   NA
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   NA

What I am trying to do is combine these two dataframes so as to the

df1 (based on the values of "y", "d", "h" columns) that have values
exactly similar to df2's rows copied in its place in the new df (df3).
For example, in the first dataframe the first row was measured at 3
o'clock on the first day of 2010 and this row must be placed on the

row of the second dataframe which has a similar value (2010, 1, 3).

the below
table:
      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   20.71488
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   19.70125

But regarding the values of the "ws" column for df2 that do not have

(at 4 and 5 o'clock), I need to interpolate between the before and

values to fill in the missing data of the "ws".
I have tried the following codes but they did not work correctly.

df3 = merge(df1, df2, by = "y")

Error: cannot allocate vector of size 487.9 Mb or

library(dplyr)
df3<- df1%>% full_join(df2)

Is there any way to do this?
Sincerely





--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

        [[alternative HTML version deleted]]

https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.et
hz.ch%2Fmailman%2Flistinfo%2Fr-
help&data=05%7C01%7Ctebert%40ufl.edu%7C9e63e590cb834ddc23d90
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75232519465332%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiL
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23d908da8b1802e2%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7
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D&reserved=0

--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

        [[alternative HTML version deleted]]

guide.html

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Jim Lemon
Sent: Thursday, September 1, 2022 11:31 AM
To: javad bayat <j.bayat194 at gmail.com>; r-help mailing list <r-help at r-
project.org>
Subject: Re: [R] Combine two dataframe with different row number and
interpolation between values

Hi Javad,
You seem to have the data frame join worked out, so here is a function
to interpolate over sequences of NAs. I have found it quite useful.

# interpolate over sequences of NAs
# NA sequences at the beginning of a file are replaced with the first
nonNA value # NA sequences at the end are filled with the last nonNA
value # sequences of all NAs are returned unaltered
interpNA<-function(x) {
 if(any(is.na(x))) {
  xrle<-rle(is.na(x))
  begin<-end<-1
  # if the sequence begins with NA
  # set the initial run of NAs to the 1st non-NA
  if(is.na(x[1])) x[1:xrle$lengths[1]]<-x[xrle$lengths[1]+1]
  for(i in 1:length(xrle$values)) {
   # if this is a run of NA, fill it
   if(xrle$values[i]) {
    end<-begin+xrle$lengths[i]+(i>1)
    if(is.na(x[end])) x[begin:(end-1)]<-x[begin]
    else x[begin:end]<-seq(x[begin],x[end],length.out=1+end-begin)
    begin<-end+xrle$lengths[i]-1
  }
   else {
    # set begin to the end of the non-NA values
    begin<-end+xrle$lengths[i]-1
   }
  }
 }
 return(x)
}

Jim

On Thu, Sep 1, 2022 at 3:29 PM javad bayat <j.bayat194 at gmail.com> wrote:

 Dear Tim;
The dplyr did not work for me. My data frames have exactly similar

but different row numbers.
Mr Petr sent this code and the code worked but it copied the second
dataframe into the first one and did not replace the corresponding row.

df3 = merge(df1, df2, all = TRUE)

Regarding filling the "NA" data, it does not matter for me to

between numbers or put the mean of numbers.
Sincerely






On Wed, Aug 31, 2022 at 5:17 PM Ebert,Timothy Aaron <tebert at ufl.edu>

wrote:

Can I interest you in the join functions in dplyr?
https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2F
www.datasciencemadesimple.com%2Fjoin-in-r-merge-in-r%2F&data=0
5%7C01%7C%7C22d32a92ea5f4aa85d3208da8c04dc0f%7Cfcb2b37b5da0466b9b8
30014b67a7c78%7C0%7C0%7C637976250192968351%7CUnknown%7CTWFpbGZsb3d
8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3
D%7C2000%7C%7C%7C&sdata=Vq0f9lMY7EzosUTCnsXEJXZZJYiEI5icCNql%2
FBJNsaE%3D&reserved=0

Filling in missing data is a useful practice when the fake
(simulated) data is a small proportion of all data. When 2/3 of
the data is fake

must wonder if anything based on those numbers is real or an
artifact

assumptions made to generate the numbers.

I deal with weather data and some weather stations are set up to

measurements between recorded values and others take a single
reading

regular intervals. How you interpolate might depend on which
option describes your data. The alternative is to use the method
for

and apply it to the other data that will be merged with these
data. I assume there is more data, otherwise I see little point in
expanding

values out.

Tim

-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of javad
bayat
Sent: Wednesday, August 31, 2022 2:09 AM
To: r-help at r-project.org
Subject: [R] Combine two dataframe with different row number and
interpolation between values

[External Email]

 Dear all,
I am trying to combine two large dataframe in order to make a

with exactly the dimension of the second dataframe.
The first df is as follows:

df1 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each =
2920), d

rep(c(1:365,1:365,1:365,1:365,1:365),each=8),
      h = rep(c(seq(3,24, by = 3),seq(3,24, by = 3),seq(3,24, by =
3),seq(3,24, by = 3),seq(3,24, by = 3)),365),
      ws = rnorm(1:14600, mean=20))

head(df1)

     y       d   h        ws
1  2010  1  3     20.71488
2  2010  1  6     19.70125
3  2010  1  9     21.00180
4  2010  1 12     20.29236
5  2010  1 15     20.12317
6  2010  1 18     19.47782

The data in the "ws" column were measured with 3 hours frequency
and I need data with one hour frequency. I have made a second df
as follows

one hour frequency for the "ws" column.

df2 = data.frame(y = rep(c(2010,2011,2012,2013,2014), each =
8760), d

rep(c(1:365,1:365,1:365,1:365,1:365),each=24),
      h = rep(c(1:24,1:24,1:24,1:24,1:24),365), ws = "NA")

head(df2)

      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   NA
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   NA

What I am trying to do is combine these two dataframes so as to
the

df1 (based on the values of "y", "d", "h" columns) that have
values exactly similar to df2's rows copied in its place in the new df (df3).
For example, in the first dataframe the first row was measured at
3 o'clock on the first day of 2010 and this row must be placed on
the

row of the second dataframe which has a similar value (2010, 1, 3).

the below
table:
      y      d    h   ws
1  2010  1    1   NA
2  2010  1    2   NA
3  2010  1    3   20.71488
4  2010  1    4   NA
5  2010  1    5   NA
6  2010  1    6   19.70125

But regarding the values of the "ws" column for df2 that do not
have

(at 4 and 5 o'clock), I need to interpolate between the before and

values to fill in the missing data of the "ws".
I have tried the following codes but they did not work correctly.

df3 = merge(df1, df2, by = "y")

Error: cannot allocate vector of size 487.9 Mb or

library(dplyr)
df3<- df1%>% full_join(df2)

Is there any way to do this?
Sincerely





--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

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Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat194 at yahoo.com

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