This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Neural Networks”. 1. _________ are mostly used for statistical analysis. a) Nervous b) Neural Networks c) Blood Pressure d) Diabetes 2. In which year Haykin gave a comprehensive survey of neural network techniques from an engineering perspective? a) 1995 b) 1996 … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Graphics with R – 2”. 1. ______ gives the length and height of the current figure in inches. a) Din b) Fin c) Sin d) Cin 2. __________ read only parameter that returns the width and height of the current device … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Graphics with R – 1”. 1. Which level plotting commands generate figures? a) Low b) High c) Both high and low d) No levels 2. The size of the margins is controlled by the argument _____ a) Mai b) Sai c) … Read more
This set of R Programming written test Questions & Answers focuses on “Distribution – 2”. 1. Two important methods in analysis is differentiation and __________ transformation. a) Bernoulli b) Fourier c) Bohr d) Rutherford 2. Every ________ function has a probability distribution function. a) Continuous b) Discrete c) Categorical d) Random 3. Which package resorts … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Distribution – 1”. 1. The _______ and ________ of a discrete random variable is easy to compute at the console. a) Mean, Variance b) Variance, Packages c) Packages, Functions d) Median, Mode 2. Which of the following simple the square root … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Predictive Analytics”. 1. The IBM _________ analytics appliances combine high-capacity storage for Big Data with a massively-parallel processing platform for high-performance computing. a) Watson b) Netezza c) InfoSight d) LityxEQ 2. ______ is an integrated hosted analytics platform for marketing insights, … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Linear Regression – 3”. 1. ________ is an incredibly powerful tool for analyzing data. a) Linear regression b) Logistic regression c) Gradient Descent d) Greedy algorithms 2. The square of the correlation coefficient r 2 will always be positive and is … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Linear Regression – 2”. 1. In practice, Line of best fit or regression line is found when _____________ a) Sum of residuals (∑(Y – h(X))) is minimum b) Sum of the absolute value of residuals (∑|Y-h(X)|) is maximum c) Sum of … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Linear Regression – 1”. 1. Which of the following convert a matrix of phi coefficients to polychoric correlations? a) poly() b) qline() c) phi2poly d) multi.plot() 2. Which of the following is used to plot multiple histograms? a) multi.plot() b) multi.hist … Read more
This set of R Programming Language Multiple Choice Questions & Answers (MCQs) focuses on “Visualizing Data – 2”. 1. Which of the following adds marginal sums to an existing table? a) par() b) prop.table() c) addmargins() d) quantile() 2. Which of the following lists names of variables in a data.frame? a) quantile() b) names() c) … Read more
