Which R function shows the structure of an object?单项选择题
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Suppose I have 1,000 simulation results of the sample sum of a chance event, stored under a variable called simulation_result Which of the following codes can I use to produce a cumulative table? The cumulative table should show the number of simulations that had a sample sum of at least a certain number.
na is a vector of numeric elements. You do not know how many elements na has. When you run the following, you are returned 1. sum(is.na(na)) If you execute the following, what would be the output? sum(is.na(na[which(is.na(na))] + na)) ==length(na)
Dharma has vector w in her active R session. There are no missing values in w. That is, there is no NA’s in w. She executed the following code: sum(w) == sum(w[which(w)]) R returned (outputted) TRUE on her R console. TRUE/FALSE: w is not a logical vector.
Suppose you have a subset of our usual North American stock market data loaded into comp data frame with 80,200 observations with all 50 columns. You executed: comp %>% select(emp) %>% summarise (ave_emp = mean(emp, na.rm = TRUE), number = sum(is.na(emp))) R gave the following output as a result: ave_emp <dbl> number <int> 8.291884 10,200 Then, you run the following code. comp %>% select(emp) %>% mutate(num = n()) %>% summarise(min_num = min(num)) The following output was displayed. min_num <dbl> _{______________ What is the redacted value above?
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