考试套餐-设置多项测验来模拟情绪

如何解决考试套餐-设置多项测验来模拟情绪

我正试图借助考试套餐来建立一个简单的情绪练习。似乎我错过了一些东西，并且导入到Moodle的文件未包含所有应该包含的项目。代码出现在下面。我将不胜感激任何可以帮助我解决此问题的提示。代码如下：

    <<echo=FALSE,results=hide>>=
    id     <- seq(1:220)
    age    <- round(runif(220,18,60),2)
    weight <- round(runif(220,45,100),2)
    gender <- sample(c("male","female"),220,replace=T)
    mydata <- data.frame(cbind(id,gender,age,weight))
    mydata$id     <- as.numeric(mydata$id)
    mydata$age    <- as.numeric(mydata$age)
    mydata$weight <- as.numeric(mydata$weight)
    write.csv(mydata,"DataQuiz1.csv",row.names = FALSE,quote = FALSE)
    @    

    \begin{question}
    Using the data provided in \url{DataQuiz1.csv} 
    \begin{answerlist}
    \item Report the variance of participants' \texttt{weight} (rounded up to two decimal places).
    \item Report what is the \texttt{age} of the youngest person (rounded up to two decimal places).
    \item Report wht is the \texttt{age} of the eldest participant (rounded up to two decimal places).
    \item Indicate what is the 3rd quartile for the variable \texttt{weigh}  (rounded up to two places).
    \item Write down how many participants are included in the \texttt{DataQuiz1}.
    \end{answerlist}
    \end{question}

    \begin{solution}
    <<echo=FALSE,results=hide,fig=TRUE>>=
    varsol  <- var(mydata$weight)
    minsol  <- min(mydata$age)
    maxsol  <- max(mydata$age)
    sol1   <-  print (summary(mydata)[5,4 ])
    sol2  <- nrow(mydata)
    solutions <- c(varsol,minsol,maxsol,sol1,sol2)
    answerlist(ifelse(solutions,"True","False"))
    @ 


   To replicate the analysis in R:
    \begin{verbatim}
    ## data
    mydata <- read.csv("DataQuiz1.csv")
    ## To find the variance for weight:
    var(mydata$weight)
    ## To find the minimum value for age:
    min(mydata$age)
    ## To find the maximum value for age:
    max(mydata$age)
    ## To find what is the 3rd Quartile of weight 
    summary(mydata$weight) (and check the fifth row,fourth column)
    ## To find out how many participants
    nrow(mydata)
    \end{verbatim}

    \end{solution}

    %% \exname{find_the_variance_and_minimum}
    %% \extype{num}
    %% \exsolution{\Sexpr{fmt(c=(varsol | minsol | maxsol | sol1 | sol2),2)}}
    %% \exclozetype{num|num|num|num|num}
    %% \extol{0.01}

解决方法

该练习存在三个问题，导致其无法正常工作：

1. 使用print (summary(mydata)[5,4 ])计算第三个四分位数会产生一个字符，而不是数字输出。因此，后续格式化等操作无法正常进行。而是使用summary(mydata$weight)[5]或quantile(mydata$weight,0.75)。
2. extype必须是cloze而不是num。
3. 命令fmt(c=(varsol | minsol | maxsol | sol1 | sol2),2)不能执行您想要的操作。请改用paste(fmt(solutions,2),collapse = "|")。 （请注意，为此必须在上面解决第1个问题。）

通过进一步简化练习，看起来像这样：

<<echo=FALSE,results=hide>>=
id     <- seq(1:220)
age    <- round(runif(220,18,60),2)
weight <- round(runif(220,45,100),2)
gender <- sample(c("male","female"),220,replace=TRUE)
mydata <- data.frame(cbind(id,gender,age,weight))
mydata$id     <- as.numeric(mydata$id)
mydata$age    <- as.numeric(mydata$age)
mydata$weight <- as.numeric(mydata$weight)
write.csv(mydata,"DataQuiz1.csv",row.names = FALSE,quote = FALSE)
@    

<<echo=FALSE,results=hide,fig=TRUE>>=
varsol  <- var(mydata$weight)
minsol  <- min(mydata$age)
maxsol  <- max(mydata$age)
sol1   <-  summary(mydata$weight)[5]
sol2  <- nrow(mydata)
solutions <- c(varsol,minsol,maxsol,sol1,sol2)
@ 

\begin{question}
Using the data provided in \url{DataQuiz1.csv} 
\begin{answerlist}
\item Report the variance of participants' \texttt{weight} (rounded up to two decimal places).
\item Report what is the \texttt{age} of the youngest person (rounded up to two decimal places).
\item Report wht is the \texttt{age} of the eldest participant (rounded up to two decimal places).
\item Indicate what is the 3rd quartile for the variable \texttt{weigh}  (rounded up to two places).
\item Write down how many participants are included in the \texttt{DataQuiz1}.
\end{answerlist}
\end{question}

\begin{solution}
Replicate the analysis in R:
\begin{verbatim}
## data
mydata <- read.csv("DataQuiz1.csv")
## To find the variance for weight:
var(mydata$weight)
## To find the minimum value for age:
min(mydata$age)
## To find the maximum value for age:
max(mydata$age)
## To find what is the 3rd Quartile of weight 
summary(mydata$weight)
## To find out how many participants
nrow(mydata)
\end{verbatim}
\end{solution}

%% \exname{find_the_variance_and_minimum}
%% \extype{cloze}
%% \exsolution{\Sexpr{paste(fmt(solutions,collapse = "|")}}
%% \exclozetype{num|num|num|num|num}
%% \extol{0.01}