filter() does not recognize the name of a column

Lekmonm · 2020-09-30T21:12:24.248Z

I have this tibble

> DS90_2
# A tibble: 50 x 3
   Parametro           Tabla   Valor
   <chr>               <chr>   <dbl>
 1 Aluminio total (Al) Tabla 1   5  
 2 Aluminio total (Al) Tabla 2  10  
 3 Aluminio total (Al) Tabla 3   1  
 4 Aluminio total (Al) Tabla 4   1  
 5 Aluminio total (Al) Tabla 5  10  
 6 Arsénico total (As) Tabla 1   0.5
 7 Arsénico total (As) Tabla 2   1  
 8 Arsénico total (As) Tabla 3   0.1
 9 Arsénico total (As) Tabla 4   0.2
10 Arsénico total (As) Tabla 5   0.5
# ... with 40 more rows

When I use filter() to column "Parametro", does not work:

> filter(DS90_2,Parametro== "Aluminio total (Al)")
# A tibble: 0 x 3
# ... with 3 variables: Parametro <chr>, Tabla <chr>, Valor <dbl>

But, when I change the column, it works:

> filter(DS90_2,Tabla== "Tabla 1")
# A tibble: 10 x 3
   Parametro            Tabla   Valor
   <chr>                <chr>   <dbl>
 1 Aluminio total (Al)  Tabla 1  5   
 2 Arsénico total (As)  Tabla 1  0.5 
 3 Cadmio total (Cd)    Tabla 1  0.01
 4 Cinc total (Zn)      Tabla 1  3   
 5 Cobre total (Cu)     Tabla 1  1   
 6 Cromo total (Cr)     Tabla 1 NA   
 7 Manganeso total (Mn) Tabla 1  0.3 
 8 Níquel total (Ni)    Tabla 1  0.2 
 9 Plomo total (Pb)     Tabla 1  0.05
10 Selenio total (Se)   Tabla 1  0.01

I have checked spaces, letters and copied and pasted the name of the column and the selection to avoid making character errors.

GreyMerchant · 2020-09-30T21:37:07.736Z

Hello there,

Do a full reprex and I can have a look to see what is going on here for you (FAQ: How to do a minimal reproducible example ( reprex ) for beginners)

Lekmonm · 2020-10-01T01:31:39.029Z

1.- Minimal Dataset (Sample Data)

1.1.- Imported data from excel:

> head(DS90)
# A tibble: 6 x 6
  Parametro           `Tabla 1` `Tabla 2` `Tabla 3` `Tabla 4` `Tabla 5`
  <chr>                   <dbl>     <dbl>     <dbl>     <dbl>     <dbl>
1 Aluminio total (Al)      5         10        1         1         10  
2 Arsénico total (As)      0.5        1        0.1       0.2        0.5
3 Cadmio total (Cd)        0.01       0.3      0.02      0.02       0.5
4 Cinc total (Zn)          3         20        5         5          5  
5 Cobre total (Cu)         1          3        0.1       1          3  
6 Cromo total (Cr)        NA         NA        2.5       2.5       10

1.2.- Handled table

> head(DS90_2,10)
# A tibble: 10 x 3
   Parametro           Tabla   Valor
   <chr>               <chr>   <dbl>
 1 Aluminio total (Al) Tabla 1   5  
 2 Aluminio total (Al) Tabla 2  10  
 3 Aluminio total (Al) Tabla 3   1  
 4 Aluminio total (Al) Tabla 4   1  
 5 Aluminio total (Al) Tabla 5  10  
 6 Arsénico total (As) Tabla 1   0.5
 7 Arsénico total (As) Tabla 2   1  
 8 Arsénico total (As) Tabla 3   0.1
 9 Arsénico total (As) Tabla 4   0.2
10 Arsénico total (As) Tabla 5   0.5

2.- Runnable Code

2.1.- Import table from excel

> library(readxl)
> DS90 <- read_excel("DS90.xlsx")

2.2.- Manipulate columns and create another table

> library(tidyverse)
> library(dplyr)
> DS90_2<-DS90%>%pivot_longer(`Tabla 1`:`Tabla 5`,names_to="Tabla",values_to="Valor")
> head(DS90_2,8)
# A tibble: 8 x 3
  Parametro           Tabla   Valor
  <chr>               <chr>   <dbl>
1 Aluminio total (Al) Tabla 1   5  
2 Aluminio total (Al) Tabla 2  10  
3 Aluminio total (Al) Tabla 3   1  
4 Aluminio total (Al) Tabla 4   1  
5 Aluminio total (Al) Tabla 5  10  
6 Arsénico total (As) Tabla 1   0.5
7 Arsénico total (As) Tabla 2   1  
8 Arsénico total (As) Tabla 3   0.1

2.3.- Using filter() with "Parametro" column (without results):

> filter(DS90_2,Parametro=="Aluminio total (Al)")
# A tibble: 0 x 3
# ... with 3 variables: Parametro <chr>, Tabla <chr>, Valor <dbl>

Doing the same but with another column (the results are fine):

> filter(DS90_2,Tabla=="Tabla 1")
# A tibble: 10 x 3
   Parametro            Tabla   Valor
   <chr>                <chr>   <dbl>
 1 Aluminio total (Al)  Tabla 1  5   
 2 Arsénico total (As)  Tabla 1  0.5 
 3 Cadmio total (Cd)    Tabla 1  0.01
 4 Cinc total (Zn)      Tabla 1  3   
 5 Cobre total (Cu)     Tabla 1  1   
 6 Cromo total (Cr)     Tabla 1 NA   
 7 Manganeso total (Mn) Tabla 1  0.3 
 8 Níquel total (Ni)    Tabla 1  0.2 
 9 Plomo total (Pb)     Tabla 1  0.05
10 Selenio total (Se)   Tabla 1  0.01

I hope that reprex has been understood and used correctly

Lekmonm · 2020-10-01T01:40:33.897Z

Respondí abajo. Muchas gracias.

andresrcs · 2020-10-01T03:25:37.529Z

The code is not runnable since we don't have access to your local files and you haven't provided sample data on a copy/paste friendly format, the reproducible example is supposed to be self contained so you have to provide code that runs with the sample data, not with a file in your computer.

Maybe if you read the reprex guide in Spanish?

Pregunta Frecuente: ¿Cómo hacer un ejemplo mínimo reproducible (reprex)? - para principiantes Guides & FAQs

Un ejemplo mínimo reproducible consiste de los siguientes puntos: Un conjunto de datos mínimo que permita reproducir el problema. El mínimo código ejecutable necesario para reproducir el problema, que pueda ser ejecutado con el conjunto de datos brindado y que incluya la información necesaria sobre los paquetes utilizados. Vayamos rápidamente sobre cada uno de estos puntos con ejemplos: Conjunto de Datos Mínimo (Datos de Muestra) Usted necesita proporcionar un conjunto de datos que sea lo suficientemente pequeño para ser pegado (razonablemente) en una publicación, pero lo suficientemente grande para reproducir el problema. Digamos, a manera de ejemplo, que usted está trabajando con el…

Lekmonm · 2020-10-03T05:35:05.825Z

library(readxl)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(tidyverse)
DS90_prueba <- read_excel("C:\\Users\\Camilo Montes\\Documents\\R\\APPS\\EA_PRUEBA\\EA-SMA-02-20\\DS90.xlsx")
head(DS90_prueba)
#> # A tibble: 6 x 6
#>   Parametro           `Tabla 1` `Tabla 2` `Tabla 3` `Tabla 4` `Tabla 5`
#>   <chr>                   <dbl>     <dbl>     <dbl>     <dbl>     <dbl>
#> 1 Aluminio total (Al)      5         10        1         1         10  
#> 2 Arsénico total (As)      0.5        1        0.1       0.2        0.5
#> 3 Cadmio total (Cd)        0.01       0.3      0.02      0.02       0.5
#> 4 Cinc total (Zn)          3         20        5         5          5  
#> 5 Cobre total (Cu)         1          3        0.1       1          3  
#> 6 Cromo total (Cr)        NA         NA        2.5       2.5       10
DS90_2<-DS90_prueba%>%pivot_longer(`Tabla 1`:`Tabla 5`,names_to="Tabla",values_to="Valor")
head(DS90_2)
#> # A tibble: 6 x 3
#>   Parametro           Tabla   Valor
#>   <chr>               <chr>   <dbl>
#> 1 Aluminio total (Al) Tabla 1   5  
#> 2 Aluminio total (Al) Tabla 2  10  
#> 3 Aluminio total (Al) Tabla 3   1  
#> 4 Aluminio total (Al) Tabla 4   1  
#> 5 Aluminio total (Al) Tabla 5  10  
#> 6 Arsénico total (As) Tabla 1   0.5
filter(DS90_2,Parametro=="Aluminio total (Al)")
#> # A tibble: 0 x 3
#> # ... with 3 variables: Parametro <chr>, Tabla <chr>, Valor <dbl>
Created on 2020-10-03 by the reprex package (v0.3.0)

nirgrahamuk · 2020-10-03T11:05:49.771Z

Lekmonm:

DS90_prueba <- read_excel("C:\\Users\\Camilo Montes\\Documents\\R\\APPS\\EA_PRUEBA\\EA-SMA-02-20\\DS90.xlsx")

The guide advises you not to do this.
You should be aware that you alone have your xlsx file, we dont. so no data is being communicated in a reproducible format.

try dput(DS90_prueba) , that will provide a copy/paste-able format.

Lekmonm · 2020-10-03T18:52:51.315Z

Yes, I understand, thank you very much. As the data obtained from reprex was presented below, I thought it would be possible to work with it.

Here are the data obtained with dput(DS90_prueba)

structure(list(Parametro = c("Aluminio total (Al)", "Arsénico total (As)", 
"Cadmio total (Cd)", "Cinc total (Zn)", "Cobre total (Cu)", "Cromo total (Cr)", 
"Manganeso total (Mn)", "Níquel total (Ni)", "Plomo total (Pb)", 
"Selenio total (Se)"), `Tabla 1` = c(5, 0.5, 0.01, 3, 1, NA, 
0.3, 0.2, 0.05, 0.01), `Tabla 2` = c(10, 1, 0.3, 20, 3, NA, 3, 
3, 0.5, 0.1), `Tabla 3` = c(1, 0.1, 0.02, 5, 0.1, 2.5, 0.5, 0.5, 
0.2, 0.01), `Tabla 4` = c(1, 0.2, 0.02, 5, 1, 2.5, 2, 2, 0.2, 
0.01), `Tabla 5` = c(10, 0.5, 0.5, 5, 3, 10, 4, 4, 1, 0.03)), row.names = c(NA, 
-10L), class = c("tbl_df", "tbl", "data.frame"))

andresrcs · 2020-10-03T22:46:13.567Z

I'm not able to reproduce your issue with the sample data you have provided

# library calls
library(dplyr)
library(tidyr)

# Sample data on a copy/paste friendly format
DS90_prueba <- structure(list(Parametro = c("Aluminio total (Al)", "Arsénico total (As)", 
                                            "Cadmio total (Cd)", "Cinc total (Zn)", "Cobre total (Cu)", "Cromo total (Cr)", 
                                            "Manganeso total (Mn)", "Níquel total (Ni)", "Plomo total (Pb)", 
                                            "Selenio total (Se)"), `Tabla 1` = c(5, 0.5, 0.01, 3, 1, NA, 
                                                                                 0.3, 0.2, 0.05, 0.01), `Tabla 2` = c(10, 1, 0.3, 20, 3, NA, 3, 
                                                                                                                      3, 0.5, 0.1), `Tabla 3` = c(1, 0.1, 0.02, 5, 0.1, 2.5, 0.5, 0.5, 
                                                                                                                                                  0.2, 0.01), `Tabla 4` = c(1, 0.2, 0.02, 5, 1, 2.5, 2, 2, 0.2, 
                                                                                                                                                                            0.01), `Tabla 5` = c(10, 0.5, 0.5, 5, 3, 10, 4, 4, 1, 0.03)), row.names = c(NA, 
                                                                                                                                                                                                                                                        -10L), class = c("tbl_df", "tbl", "data.frame"))

# Relevant code
DS90_prueba %>%
    pivot_longer(`Tabla 1`:`Tabla 5`,
                 names_to = "Tabla",
                 values_to = "Valor") %>% 
    filter(Parametro == "Aluminio total (Al)")
#> # A tibble: 5 x 3
#>   Parametro           Tabla   Valor
#>   <chr>               <chr>   <dbl>
#> 1 Aluminio total (Al) Tabla 1     5
#> 2 Aluminio total (Al) Tabla 2    10
#> 3 Aluminio total (Al) Tabla 3     1
#> 4 Aluminio total (Al) Tabla 4     1
#> 5 Aluminio total (Al) Tabla 5    10

^{Created on 2020-10-03 by the reprex package (v0.3.0)}
Try reinstalling/updating dplyr and tidyr, if the issues persist, share a proper reproducible example (like the one I have posted).

Lekmonm · 2020-10-04T20:41:34.068Z

Thank you very much.

Regards,

woodward · 2020-10-04T22:03:04.905Z

Try

dplyr::filter(DS90_2,Parametro== "Aluminio total (Al)").

You might be using stats::filter, which does not handle data frames this way.

Lekmonm · 2020-10-05T12:28:40.490Z

Hi, thank you, but but did not deliver any results. Finally I used:

DS90_2_df <- DS90_2 %>% as.data.frame()
nombres <- distinct(DS90_2_df, Parametro)
Al_DS90<-DS90_2_df%>%filter(Parametro==nombres[1,])

Regards,

Lekmonm · 2020-10-05T12:29:26.716Z

Thank you very much!

system · 2020-10-26T12:29:29.412Z

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