javad bayat
2022-Aug-31 06:08 UTC
[R] Combine two dataframe with different row number and interpolation between values
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]]
PIKAL Petr
2022-Aug-31 06:32 UTC
[R] Combine two dataframe with different row number and interpolation between values
Hallo Merge df3 <- merge(df1, df2, all=T)> head(df3)y d h ws 1 2010 1 1 NA 2 2010 1 2 NA 3 2010 1 3 20.4631367884005 4 2010 1 3 NA 5 2010 1 4 NA 6 2010 1 5 NA Cheers Petr> -----Original Message----- > From: R-help <r-help-bounces at r-project.org> On Behalf Of javad bayat > Sent: Wednesday, August 31, 2022 8:09 AM > To: r-help at r-project.org > Subject: [R] Combine two dataframe with different row number and > interpolation between values > > 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 Ineed> 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 rowsin> df1 (based on the values of "y", "d", "h" columns) that have valuesexactly> 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 3o'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 thebelow> 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]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.
PIKAL Petr
2022-Aug-31 06:51 UTC
[R] Combine two dataframe with different row number and interpolation between values
Hallo And missing value interpolation is rather tricky business dependent on what is underlying process. Maybe na.locf from zoo package? Or approxfun?, splinefun? Cheers Petr> -----Original Message----- > From: R-help <r-help-bounces at r-project.org> On Behalf Of javad bayat > Sent: Wednesday, August 31, 2022 8:09 AM > To: r-help at r-project.org > Subject: [R] Combine two dataframe with different row number and > interpolation between values > > Dear all, > I am trying to combine two large dataframe in order to make a dataframewith> 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 Ineed> data with one hour frequency. I have made a second df as follows with onehour> 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 rowsin> df1 (based on the values of "y", "d", "h" columns) that have valuesexactly> 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 3o'clock on> the first day of 2010 and this row must be placed on the third row of thesecond> 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 valuesto 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]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.
Ebert,Timothy Aaron
2022-Aug-31 12:47 UTC
[R] Combine two dataframe with different row number and interpolation between values
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]] ______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help&data=05%7C01%7Ctebert%40ufl.edu%7C9e63e590cb834ddc23d908da8b1802e2%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C637975232519465332%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=WigJVAmdLn%2FK7ZtJq28%2Buv4aDmUjNXu6QPabdt5h2iQ%3D&reserved=0 PLEASE do read the posting guide https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.r-project.org%2Fposting-guide.html&data=05%7C01%7Ctebert%40ufl.edu%7C9e63e590cb834ddc23d908da8b1802e2%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C637975232519465332%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=m1VCPBpnYy%2FwqlOuf5froUVEMBDJKwDuAWS4cFNx1wI%3D&reserved=0 and provide commented, minimal, self-contained, reproducible code.
javad bayat
2022-Sep-01 05:23 UTC
[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 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]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstat.ethz.ch%2Fmailman%2Flistinfo%2Fr-help&data=05%7C01%7Ctebert%40ufl.edu%7C9e63e590cb834ddc23d908da8b1802e2%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C637975232519465332%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=WigJVAmdLn%2FK7ZtJq28%2Buv4aDmUjNXu6QPabdt5h2iQ%3D&reserved=0 > PLEASE do read the posting guide > https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.r-project.org%2Fposting-guide.html&data=05%7C01%7Ctebert%40ufl.edu%7C9e63e590cb834ddc23d908da8b1802e2%7C0d4da0f84a314d76ace60a62331e1b84%7C0%7C0%7C637975232519465332%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=m1VCPBpnYy%2FwqlOuf5froUVEMBDJKwDuAWS4cFNx1wI%3D&reserved=0 > and provide commented, minimal, self-contained, reproducible code. >-- Best Regards Javad Bayat M.Sc. Environment Engineering Alternative Mail: bayat194 at yahoo.com [[alternative HTML version deleted]]