[R] rbind of multiple data frames by column name, when each data frames can contain different columns

John Fox j|ox @end|ng |rom mcm@@ter@c@
Fri Jun 3 02:26:53 CEST 2022


Dear Stefano,

I don't believe that your question has been answered.

You can use merge(), twice:

------- snip --------

 > merge(merge(df1, df2, all=TRUE), df3, all=TRUE)
    data_POSIX Station2_Hs Station2_Hn Station2_flag Station3_Hs Station3_Hn
1  2000-12-01          20           0             0          NA          NA
2  2000-12-02          20           0             0          NA          NA
3  2000-12-03          30          10             0          NA          NA
4  2000-12-04          30           0             1          NA          NA
5  2000-12-05           0           5             0          NA          NA
6  2001-12-01          NA          NA            NA          20           0
7  2001-12-02          NA          NA            NA          20           0
8  2001-12-03          NA          NA            NA          30          10
9  2001-12-04          NA          NA            NA          30           0
10 2001-12-05          NA          NA            NA           0           5
11 2002-12-01          50          20             0          20           0
12 2002-12-02          60          20             0          20           0
13 2002-12-03          70          20             0          30          10
14 2002-12-04          NA          NA            NA          30           0
15 2002-12-05          NA          NA            NA           0           5
    Station3_flag Station1_Hs Station1_Hn Station1_flag
1             NA          30          10             0
2             NA          40          20             0
3             NA          50          10             0
4             NA          NA          NA            NA
5             NA          55           5             0
6              0          50          20             0
7              0          60          20             0
8              0          70          20             0
9              1          NA          NA            NA
10             0          NA          NA            NA
11             0          NA          NA            NA
12             0          NA          NA            NA
13             0          NA          NA            NA
14             1          NA          NA            NA
15             0          NA          NA            NA

------- snip --------

The columns aren't in the order that you specified but, if that's 
important, you can simply reorder them.

I hope this helps,
  John

-- 
John Fox, Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
web: https://socialsciences.mcmaster.ca/jfox/

On 2022-06-02 2:12 a.m., Stefano Sofia wrote:
> Dear R-list users,
> 
> for each winter season from 2000 to 2022 I have a data frame collecting for different weather stations snowpack height (Hs), snowfall in the last 24h (Hn) and a validation flag.
> 
> Suppose I have these three following data frames
> 
> 
> df1 <- data.frame(data_POSIX=seq(as.POSIXct("2000-12-01", format="%Y-%m-%d", tz="Etc/GMT-1"), as.POSIXct("2000-12-05", format="%Y-%m-%d", tz="Etc/GMT-1"), by="1 days"), Station1_Hs = c(30, 40, 50, NA, 55), Station1_Hn = c(10, 20, 10, NA, 5), Station1_flag = c(0, 0, 0, NA, 0), Station2_Hs = c(20, 20, 30, 30, 0), Station2_Hn = c(0, 0, 10, 0, 5), Station2_flag = c(0, 0, 0, 1, 0))
> 
> 
> df2 <- data.frame(data_POSIX=seq(as.POSIXct("2001-12-01", format="%Y-%m-%d", tz="Etc/GMT-1"), as.POSIXct("2001-12-05", format="%Y-%m-%d", tz="Etc/GMT-1"), by="1 days"), Station1_Hs = c(50, 60, 70, NA, NA), Station1_Hn = c(20, 20, 20, NA, NA), Station1_flag = c(0, 0, 0, NA, NA), Station3_Hs = c(20, 20, 30, 30, 0), Station3_Hn = c(0, 0, 10, 0, 5), Station3_flag = c(0, 0, 0, 1, 0))
> 
> 
> df3 <- data.frame(data_POSIX=seq(as.POSIXct("2002-12-01", format="%Y-%m-%d", tz="Etc/GMT-1"), as.POSIXct("2002-12-05", format="%Y-%m-%d", tz="Etc/GMT-1"), by="1 days"), Station2_Hs = c(50, 60, 70, NA, NA), Station2_Hn = c(20, 20, 20, NA, NA), Station2_flag = c(0, 0, 0, NA, NA), Station3_Hs = c(20, 20, 30, 30, 0), Station3_Hn = c(0, 0, 10, 0, 5), Station3_flag = c(0, 0, 0, 1, 0))
> 
> 
> As you can see, each data frame can have different stations loaded.
> 
> I would need to call rbind matching data frames by column name (i.e. by station name), keeping in mind that the number of stations loaded in each data frame may differ. The result should be
> 
> data_POSIX Station1_Hs Station1_Hn Station1_flag Station2_Hs Station2_Hn Station2_flag Station3_Hs Station3_Hn Station3_flag
> 2000-12-01 30 10 0 20 0 0 NA NA NA
> 2000-12-02 40 20 0 20 0 0 NA NA NA
> 2000-12-03 50 10 0 30 10 0 NA NA NA
> 2000-12-04 NA NA NA 30 0 0 NA NA NA
> 2000-12-05 55 5 0 0 5 0 NA NA NA
> 2001-12-01 50 20 0 NA NA NA 20 0 0
> 2001-12-02 60 20 0 NA NA NA 20 0 0
> 2001-12-03 70 20 0 NA NA NA 30 10 0
> 2001-12-04 NA NA NA NA NA NA 30 0 1
> 2001-12-05 NA NA NA NA NA NA 0 5 0
> 2002-12-01 NA NA NA 50 20 0 20 0 0
> 2002-12-02 NA NA NA 60 20 0 20 0 0
> 2002-12-03 NA NA NA 70 20 0 30 10 0
> 2002-12-04 NA NA NA NA NA NA 30 0 1
> 2002-12-05 NA NA NA NA NA NA 0 5 0
> 
> I tried this code
> 
> df_list <- list(df1, df2, df3)
> allNms <- unique(unlist(lapply(df_list, names)))
> do.call(rbind, c(lapply(df_list, function(x) data.frame(c(x, sapply(setdiff(allNms, names(x)), function(y) NA)))), make.row.names=FALSE))
> 
> but I get this error:
> Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE,  :
>    arguments imply differing number of rows
> 
> Could someone please help me?
> 
> 
> Thank you for your attention
> 
> Stefano
> 
> 
>           (oo)
> --oOO--( )--OOo--------------------------------------
> Stefano Sofia PhD
> Civil Protection - Marche Region - Italy
> Meteo Section
> Snow Section
> Via del Colle Ameno 5
> 60126 Torrette di Ancona, Ancona (AN)
> Uff: +39 071 806 7743
> E-mail: stefano.sofia using regione.marche.it
> ---Oo---------oO----------------------------------------
> 
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