lapply a function to a data frame list and then cbind to corresponding data frame-CodePudding

Problem: Two data frames each containing three columns but different number of rows

>view(archae_pro)
motif obs pred
AAB 1189 760.1757
CDD 1058 249.7147
DDE 771 415.1314
FBB 544 226.3529

>view(archae_end)
motif obs pred
ABG 1044 749.4967
GBC 634 564.5753
AGG 616 568.7375
CGG 504 192.5312
BTT 404 200.4589

I want to perform chi-square goodness-of-fit test. Also, calculate standardised residuals and column-bind them to the corresponding data frames. What I tried follows:

df.list <- list (
  df_archae_pro, 
  df_archae_end,
) 

prop <- lapply(df.list, function (x) cbind(x$pred/sum(x$pred)))
chisquare <- lapply(df.list, function(x) chisq.test (x$obs, p=prop))

Rstudio throws up an error

Error in chisq.test(x$obs, p = prop) : 
'x' and 'p' must have the same number of elements

My two-pence on the error: chisq.test somehow does not read the "prop" corresponding to the correct data.frame?!

I have just started learning rstudio a few days ago so do excuse any obvious mistakes.

I would also appreciate any help in calculating the standardized residuals and column-binding them to the data frames.

CodePudding user response：

Simply, add a first argument to cbind with named argument for new column, prop, on second argument while assigning result back to df.list since you are adding a new column to each data frame.

Then, in next call add an object qualifier, x$, to prop to reference column in test:

df.list <- lapply(df.list, function(x) 
    cbind(x, prop=x$pred/sum(x$pred))
) 

chisquare <- lapply(df.list, function(x)
    chisq.test(x$obs, p=x$prop)
)

To assign results of test, cbind the extracted values:

df.list <- lapply(df.list, function(df) {
    results <- chisq.test(df$obs, p=df$prop)

    cbind(
        df, 
        stat = results$statistic, 
        pval = results$p.value,
        stdres = results$stdres
    )
})