I have a question related to the use of chi square test for a paired data. I have read that McNemar tests would be an option but in some software like R it works only for 2x2 data (may be I do not know the correct way to do it) and my data is more than a 2 x 2.

These are counts for individuals before and after applying an insecticide. Some people suggested a paired t test could work, but I am not too sure about it since my data are counts.

Data looks like the table below.

Thanks in advance for any suggestion you can give me

\begin{array}{|l|r|r|} &\text{Before}&\text{After}\\ \hline \text{Species A}&30&12\\ \hline \text{Species B}&30&7\\ \hline \text{Species C}&30&6\\ \hline \text{Species D}&30&2\\ \hline \text{Species E}&30&4\\ \hline \end{array}

I have a question related to the use of chi square test for paired data. I have read that McNemar tests would be an option but in some software like R it works only for 2x2 data (may be I do not know the correct way to do it) and my data is more than a 2 x 2.

These are counts for individuals before and after applying an insecticide. Some people suggested a paired t test could work, but I am not too sure about it since my data are counts.

Data looks like the table below.

\begin{array}{|l|r|r|} &\text{Before}&\text{After}\\ \hline \text{Species A}&30&12\\ \hline \text{Species B}&30&7\\ \hline \text{Species C}&30&6\\ \hline \text{Species D}&30&2\\ \hline \text{Species E}&30&4\\ \hline \end{array}

I have a question related to the use of chi square test for a paired data. I have read that McNemar tests would be an option but in some software like R it works only for 2x2 data (may be I do not know the correct way to do it) and my data is more than a 2 x 2.

These are counts for individuals before and after apply an insecticide. Some people suggested a paired t test could work, but I am not too sure about it since my data are counts.

Data looks like the attached file.

Thanks in advance for any suggestion you can give me

I have a question related to the use of chi square test for a paired data. I have read that McNemar tests would be an option but in some software like R it works only for 2x2 data (may be I do not know the correct way to do it) and my data is more than a 2 x 2.

These are counts for individuals before and after applying an insecticide. Some people suggested a paired t test could work, but I am not too sure about it since my data are counts.

Data looks like the table below.

Thanks in advance for any suggestion you can give me

\begin{array}{|l|r|r|} &\text{Before}&\text{After}\\ \hline \text{Species A}&30&12\\ \hline \text{Species B}&30&7\\ \hline \text{Species C}&30&6\\ \hline \text{Species D}&30&2\\ \hline \text{Species E}&30&4\\ \hline \end{array}