How to remove all rows that have a numeric in the first (or any) column

Here is the output:

str(VPN_Sheet1$HVA)

List of 2174
 $ : chr "Email: fffd at fffffffffff.com"
 $ : num 1
 $ : chr "Eloisa Libas"
 $ : chr "Percival Esquejo"
 $ : chr "Louchelle Singh"
 $ : num 2
 $ : chr "Charisse Anne Tabarno, RN"
 $ : chr "Sol Amor Mucoy"
 $ : chr "Josan Moira Paler"
 $ : num 3
 $ : chr "Anna Katrina V. Alberto"
 $ : chr "Nenita Velarde"
 $ : chr "Eunice Arrances"
 $ : num 4
 $ : chr "Catherine Henson"
 $ : chr "Maria Carla Daya"
 $ : chr "Renee Ireine Alit"
 $ : num 5
 $ : chr "Marol Joseph Domingo - PS"
 $ : chr "Kissy Andrea Arriesgado"
 $ : chr "Pia B Baluyut, RN"
 $ : num 6
 $ : chr "Gladys Joy Tan"
 $ : chr "Frances Zarzua"
 $ : chr "Fairy Jane Nery"
 $ : num 7
 $ : chr "Gladys Tijam, RMT"
 $ : chr "Sarah Jane Aramburo"
 $ : chr "Eve Mendoza"
 $ : num 8
 $ : chr "Gloria Padolino"
 $ : chr "Joyce Pearl Javier"
 $ : chr "Ayza Padilla"
 $ : num 9
 $ : chr "Walfredson Calderon"
 $ : chr "Stephanie Anne Militante"
 $ : chr "Rennua Oquilan"
 $ : num 10
 $ : chr "Neil John Nery"
 $ : chr "Maria Reyna Reyes"
 $ : chr "Rowella Villegas"
 $ : num 11
 $ : chr "Katelyn Mendiola"
 $ : chr "Maria Riza Mariano"
 $ : chr "Marie Vallianne Carantes"
 $ : num 12

??????? Original Message ???????

An atomic column of data by design has exactly one mode, so if any values are non-numeric then the entire column will be non-numeric. What does

str(VPN_Sheet1$HVA)

tell you? It is likely either a factor or character data.

On September 14, 2021 7:01:53 PM PDT, Gregg Powell via R-help r-help at r-project.org wrote:

Stuck on this problem - How does one remove all rows in a dataframe that have a numeric in the first (or any) column?

Seems straight forward - but I'm having trouble.

I've attempted to used:

VPN_Sheet1 <- VPN_Sheet1[!is.numeric(VPN_Sheet1$HVA),]

and

VPN_Sheet1 <- VPN_Sheet1[!is.integer(VPN_Sheet1$HVA),]

Neither work - Neither throw an error.

class(VPN_Sheet1$HVA) returns:

[1] "list"

So, the HVA column returns a list.

Data looks like the attached screen grab -

The ONLY rows I need to delete are the rows where there is a numeric in the HVA column.

There are some 5000+ rows in the actual data.

Would be grateful for a solution to this problem.

How to get R to detect whether the value in column 1 is a number so the rows with the number values can be deleted?

Thanks in advance to any and all willing to help on this problem.

Gregg Powell

Sierra Vista, AZ

--

Sent from my phone. Please excuse my brevity.

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