Suppose you have a data frame called df with 100 observations. One of the columns is a character column called ID. The first value of ID is "001", the second is "002", and so forth. The 100th observation for ID is "100".   You then run the following code:   df %>%   mutate(ID_num = as.numeric(ID), ID_new = as.character(ID_num)) %>%   filter(ID == ID_new)   How many rows are displayed (outputted) in the result? [Fill in the blank] 多项填空题

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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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