PROGRAMING IN RSTUDIO

Data Summarization and Manipulation. In this question you will perform basic data manipulation. To do so, first generate a data. frame containing 50 rows and 3 columns. The columns will be called "Normal", "Poisson" and "Binomial". The values for the columns will be randomly generated (check the R help on rnorm, rpois and rbinom) using the following parameterization Normal: mean-1, standard deviation-3 Poison: mean-3 . Binomial: probability of success - 0.6 Each of the following questions requires only one line of R code (a) How many Normal values are less than 0? (b) Replace the row of Normal values, with the log of each value (c) Replace any NaN values of the Normal column with 0. (d) What is the index of the largest value in the Poisson column? (e) Create a table of the values in the Poisson column (f) Create a contingency table of values that counts, such that for each value in the Binomial column, the number of Poisson values that appears. For example, 0 1 2 3 4 5 6 7 0 27 1 4 4 0 1 2 0 1 0 0 5 1 31 0 1 where each of the two rows correspond to the Binomial 0/1 output, and for each value, the column indicates the number of times a particular Poisson number appeared jointly with it. Hence, the value 27 represents the number of times that the Binomial column value was a 0 when the Poisson column was also 0 (vour numbers will obviously varv