Create blank data frame with R

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This tutorial explains how to create a blank data set (data frame) with R.
 dummydt=data.frame(matrix(ncol=0,nrow=0))
Practical Application - It is very useful when you append data sets in a loop. In the first iteration, it is required to form a structure of the data frame so that data from the subsequent iteration can be added to it. Check out the code below.
unilogit2 = function(df,depvar, output) {
  dummydt=data.frame(matrix(ncol=0,nrow=0))  depvar1 = deparse(substitute(depvar))
  out = deparse(substitute(output))
  xxxx = names(df)[which(names(df)!= depvar1)]
  for (i in 1:length(xxxx)) {
  mylogit = glm(formula(paste(depvar1,"~",xxxx[i])), data = df, family = "binomial")
  coeff = data.frame(summary(mylogit)$coefficient)
  if (i==1) {output = rbind(dummydt,coeff)}  else {output = rbind(output,coeff)}  assign(out,output, envir = .GlobalEnv)
 }

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About Author:

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has close to 7 years of experience in data science and predictive modeling. During his tenure, he has worked with global clients in various domains like retail and commercial banking, Telecom, HR and Automotive.


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