我正在努力编写一个函数fun2,它使用fun1.继续犯错误。下面我写了一个简化的例子。这是我第一次处理“整洁的评价”,不知道它的来龙去脉。
示例数据格式:
d1 = data.frame(
ID = c("A", "A", "A", "B", "B", "C", "C", "C", "C"),
EXPR = c(2, 8, 3, 5, 7, 20, 1, 5, 4)
)
d2 = data.frame(
ID = c("A", "B", "C"),
NUM = c(22, 50, 31)
)第一函数
fun1 <- function(
df1 = "df 1",
df2 = "df 2",
t1 = "threshold 1",
expr_col = "expr column",
id_col = "sample column - must be present in df1 and df2") {
# dataframes
df <- df1
db <- df2
# quosure
enquo_id <- enquo(id_col)
enquo_expr <- enquo(expr_col)
# classify
df <- df %>%
mutate(threshold = t1) %>%
mutate(class = ifelse(!!enquo_expr > t1, "positive", "negative")) %>%
mutate(class = factor(class, levels = c("positive", "negative")))
# calculate sample data
df.sum <- df %>%
group_by(!!enquo_id, class) %>%
summarise(count = n()) %>%
complete(class, fill = list(count = 0)) %>%
mutate(total = sum(count), freq = count/total)
# merge dataframes
df.sum <- left_join(df.sum, db, by = quo_name(enquo_id))
# return
return(df.sum)
}如果我运行这方面的测试,我将得到一个数据帧作为回报,就像预期的那样。
test <- fun1(df1 = d1, df2 = d2, t1 = 3, expr_col = EXPR, id_col = ID)第二函数现在使用fun2,我尝试在for循环中使用fun1来迭代seq向量的ti到tf:
fun2 <- function(
df1 = "df 1",
df2 = "df 2",
expr_col = "expr column",
id_col = "sample column - must be present in df1 and df2",
ti = "initial value",
tf = "final value",
res = "resolution") {
# define variables for fun1
var1 <- enquo(d1)
var2 <- enquo(d2)
var3 <- enquo(t1)
var4 <- enquo(EXPR)
var5 <- enquo(ID)
# get sequence of values
seq <- seq(from = ti, to = tf, by = res)
# open list
t.list <- list()
# Loop ----
for (i in seq_along(seq)){
t1 <- seq[i]
t.list[[i]] <- fun1(df1 = var1,
df2 = var2,
t1 = var3,
expr_col = var4,
id_col = var5)
}
df.out <- plyr::ldply(t.list, rbind)
### Return ---
return(df.out)
}但如果我做这个
test <- fun2(df1 = d1, df2 = d2, expr_col = EXPR, id_col = ID, ti = 1, tf = 10, res = 1)我收到一条错误消息
Error in (function (x) : object 'EXPR' not found我尝试了很多东西..。我被困在这里了。我想我并没有正确地使用enquo()。我可以通过不使用varX并在fun1参数中直接放置每个元素的实际适当名称来使其工作,但对我来说,这样做的全部意义是使其“泛化”,因此只在fun2中指定参数,然后将其传递给fun1。
任何帮助都将不胜感激。
发布于 2018-11-02 20:47:20
非常感谢你的回答,史密斯。现在使用以下代码对我进行排序:
fun2 <- function(
df1 = "df 1",
df2 = "df 2",
expr_col = "expr column",
id_col = "sample column - must be present in df1 and df2",
ti = "initial value",
tf = "final value",
res = "resolution") {
# define variables for fun1
var4 <- enquo(expr_col)
var5 <- enquo(id_col)
# get sequence of values
seq <- seq(from = ti, to = tf, by = res)
# open list
t.list <- list()
### Loop --------------------------------------------------------------
for (i in seq_along(seq)){
t1 <- seq[i]
t.list[[i]] <- fun1(df1 = df1,
df2 = df2,
t1 = t1,
expr_col = !!var4,
id_col = !!var5)
}
df.out <- plyr::ldply(t.list, rbind)
### Return ---
return(df.out)
}
# TEST FUN2
test <- fun2(df1 = d1, df2 = d2, expr_col = EXPR, id_col = ID, ti = 1, tf = 10, res = 1)https://stackoverflow.com/questions/53124902
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