I have two variables and I want to know if they are correlated, I have them distributed like this: X = 14,15,16,18,12,13,14,15 Y = NA, 13,12, NA, NA, 16,16, NA
I am doing a regression analysis with 70 countries. My dependent variable is 'Inequality' and my independent variable is 'Sanction'. My original columns look as
The image shows the database, it starts with day 0 and ends with day 14. In between these, there are empty values for what I am plotting. I am unable to correc
#This is my model linearMod <- lm( Housing_Training$SalePrice ~ Housing_Training$MSSubClass + Housing_Training$LotFrontage + Housing_Training$LotArea + Hous
I did a questionnaire research where some of the answers were "I don't know" and "I don't want to answer". Now I need to change those answering options to "N/A"
I have applied the following code on airquality dataset available in R, which has some missing values. I want to omit the rows which has NAs library(SparkR) Sys
I have a similar problem to Q: Connecting across missing values with geom_line, but found the answers provided only connect the lines when there is one missing
I've a dataset of macroeconomic data like GDP, inflation, etc... where Rows=different macroeconomic indicators and columns=years Since some values are missing (
I want to use predict() with a polr() model to predict variable z, as per the following code. This first is the df to train the model and the subsequent test da