使用LimeSurvey API响应创建的数据框的动态R直方图

Question

我的目标中的第一步已经实现（谢谢@akrun），但我似乎无法完成目标线！继续我的第一个很快得到解答的问题，我仍然无法创建直方图。

这是什么，我想我的动力输出，看起来像一个工作示例：

library(dplyr) 
library(ggplot2) 
library(tidyr) 
df <- data.frame(timeline = Sys.Date() - 1:10, 
       q3 = sample(c("Yes", "No"), size = 10, replace = T), 
       q4 = sample(c("Yes", "No"), size = 10, replace = T), 
       q5 = sample(c("Yes", "No"), size = 10, replace = T), 
       q6 = sample(c("Yes", "No"), size = 10, replace = T), 
       q7 = sample(c("Yes", "No"), size = 10, replace = T), 
       q8 = sample(c("Yes", "No"), size = 10, replace = T), 

       stringsAsFactors = F) %>% 
    mutate(q3 = ifelse(q3 == "Yes", 1, 0), 
      q4 = ifelse(q4 == "Yes", 1, 0), 
      q5 = ifelse(q5 == "Yes", 1, 0), 
      q6 = ifelse(q6 == "Yes", 1, 0), 
      q7 = ifelse(q7 == "Yes", 1, 0), 
      q8 = ifelse(q8 == "Yes", 1, 0) 

    ) %>% 
    gather(key = question, value = value, q3, q4, q5, q6, q7, q8) 

g <- ggplot(df, aes(x = timeline, y = value, fill = question)) + 
    geom_bar(stat = "identity") 

g 

，这是我得到了help后，这是一个被创建数据帧的例子。我不知道列的数量，他们的名字，或者观察的数量，所以它必须动态地工作。

Appetite <- c("No","Yes","No","No","No","No","No","No","No") 
Dental.Health <- c("No","Yes","No","No","No","No","Yes","Yes","No") 
Dry.mouth <- c("No","Yes","Yes","Yes","Yes","No","Yes","Yes","No") 
Mouth.opening <- c("No","No","Yes","Yes","Yes","No","Yes","Yes","No") 
Pain.elsewhere <- c("No","Yes","No","No","No","No","No","No","No") 
Sleeping <- c("No","No","No","No","No","Yes","No","No","No") 
Sore.mouth <- c("No","No","Yes","Yes","No","No","No","No","No") 
Swallowing <- c("No","No","No","No","Yes","No","No","No","No") 
Cancer.treatment <- c("No","No","Yes","Yes","No","Yes","No","No","No") 
Support.for.my.family <- c("No","No","Yes","Yes","No","No","No","No","No") 
Fear.of.cancer.coming.back <- c("No","No","Yes","Yes","No","No","Yes","No","No") 
Intimacy <- c("Yes","No","No","No","No","No","No","No","No") 
Dentist <- c("No","Yes","No","No","No","No","No","No","No") 
Dietician <- c("No","No","Yes","Yes","No","No","No","No","No") 
Date.submitted <- c("2002-07-25 00:00:00", 
       "2002-09-05 00:00:00", 
       "2003-01-09 00:00:00", 
       "2003-01-09 00:00:00", 
       "2003-07-17 00:00:00", 
       "2003-11-06 00:00:00", 
       "2004-12-17 00:00:00", 
       "2005-06-03 00:00:00", 
       "2005-12-17 00:00:00") 

theDates <- as.Date(Date.submitted, "%Y-%m-%d %T") 

theDataFrame <- data.frame(timeline = as.list(theDates), 
          Appetite, 
          Dental.Health, 
          Dry.mouth, 
          Mouth.opening, 
          Pain.elsewhere, 
          Sleeping, 
          Sore.mouth, 
          Swallowing, 
          Cancer.treatment, 
          Support.for.my.family, 
          Fear.of.cancer.coming.back, 
          Intimacy, 
          Dentist, 
          Dietician, 
          stringsAsFactors = F) %>% 
    theDataFrame[-1] <- lapply(theDataFrame[-1], function(x) as.integer(x=="Yes")) %>% 
    gather(key = question, value = value, as.list(theDataFrame)) 

go <- ggplot(theDataFrame, aes(x = timeline, y = value, fill = question)) + 
    geom_bar(stat = "identity") 

go 

我可能误解了收集工作，但我似乎无法得到我的头。

Answer 1

In his comment，OP请求让第二个例子工作。这可以用一些修改OP的代码来完成：

library(tidyr) 
library(ggplot2) 

Appetite <- c("No","Yes","No","No","No","No","No","No","No") 
Dental.Health <- c("No","Yes","No","No","No","No","Yes","Yes","No") 
Dry.mouth <- c("No","Yes","Yes","Yes","Yes","No","Yes","Yes","No") 
Mouth.opening <- c("No","No","Yes","Yes","Yes","No","Yes","Yes","No") 
Pain.elsewhere <- c("No","Yes","No","No","No","No","No","No","No") 
Sleeping <- c("No","No","No","No","No","Yes","No","No","No") 
Sore.mouth <- c("No","No","Yes","Yes","No","No","No","No","No") 
Swallowing <- c("No","No","No","No","Yes","No","No","No","No") 
Cancer.treatment <- c("No","No","Yes","Yes","No","Yes","No","No","No") 
Support.for.my.family <- c("No","No","Yes","Yes","No","No","No","No","No") 
Fear.of.cancer.coming.back <- c("No","No","Yes","Yes","No","No","Yes","No","No") 
Intimacy <- c("Yes","No","No","No","No","No","No","No","No") 
Dentist <- c("No","Yes","No","No","No","No","No","No","No") 
Dietician <- c("No","No","Yes","Yes","No","No","No","No","No") 
Date.submitted <- 
    c("2002-07-25 00:00:00", "2002-09-05 00:00:00", "2003-01-09 00:00:00", 
    "2003-01-09 00:00:00", "2003-07-17 00:00:00", "2003-11-06 00:00:00", 
    "2004-12-17 00:00:00", "2005-06-03 00:00:00", "2005-12-17 00:00:00") 

theDataFrame <- data.frame(
    timeline = as.Date(Date.submitted), 
    Appetite, Dental.Health, Dry.mouth, Mouth.opening, Pain.elsewhere, 
    Sleeping, Sore.mouth, Swallowing, Cancer.treatment, Support.for.my.family, 
    Fear.of.cancer.coming.back, Intimacy, Dentist, Dietician, 
    stringsAsFactors = FALSE) 

theDataFrame[-1] <- lapply(theDataFrame[-1], function(x) as.integer(x=="Yes")) 
theDataFrame <- theDataFrame %>% gather(question, value, -timeline) 

go <- ggplot(theDataFrame, aes(x = timeline, y = value, fill = question)) + 
    geom_col() 
go