Editing Statistics and Statistical Programming (Fall 2020)/pset1
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# Calculate summary statistics for your variable. Be sure to include the length, minimum, maximum, mean, and standard deviation. | # Calculate summary statistics for your variable. Be sure to include the length, minimum, maximum, mean, and standard deviation. | ||
# Create a visualization of your variable: at the very least, create a boxplot or a histogram. | # Create a visualization of your variable: at the very least, create a boxplot or a histogram. | ||
# Some of you may have negative numbers. Whoops! This was due to a coding error. Write code to recode all negative numbers as missing (i.e. <code>NA</code>) in your dataset. Now compute the mean and standard deviation again | # Some of you may have negative numbers. Whoops! This was due to a coding error. Write code to recode all negative numbers as missing (i.e. <code>NA</code>) in your dataset. Now compute the mean and standard deviation again. How does it change? ('''Hint:''' You may need to include the argument <code>na.rm=TRUE</code> to solve the problem.) | ||
# Log transform your dataset (i.e., take the natural logarithm for each value). If you have very small values (close to zero) it may be helpful to add 1 to each value before you take the natural logarithm (this avoids nonsense output in the results). Calculate the new mean and standard deviation of the transformed variable. Also create a new histogram or boxplot. | # Log transform your dataset (i.e., take the natural logarithm for each value). If you have very small values (close to zero) it may be helpful to add 1 to each value before you take the natural logarithm (this avoids nonsense output in the results). Calculate the new mean and standard deviation of the transformed variable. Also create a new histogram or boxplot. | ||