自定义晶格函数作用域(组参数) [英] Scoping in custom lattice functions (group argument)
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问题描述
请考虑以下功能:
tf <- function(formula = NULL, data = NULL, groups = NULL) {
grv <- eval(substitute(groups), data, environment(formula)) # the values
grn <- as.character(match.call()$groups) # the name
gr <- match.call()$groups # unquoted name
p <- xyplot(formula, data, # draws the data but not in groups
# Try these options:
# p <- xyplot(formula, data, groups, # can't find 'cat2'
# p <- xyplot(formula, data, groups = data[,grn], # can't fine grn
# p <- xyplot(formula, data, groups = grv, # can't find grv
panel = function(x, y) {
panel.stripplot(x, y, jitter.data = TRUE, pch = 20)
}
)
p
}
您可以使用以下哪一种:
Which you can run with:
tf(formula = mpg~vs, groups = am, data = mtcars)
在将groups
参数传递给xyplot
时,我做错了什么-为什么找不到它?我不知道它怎么想要group
信息.谢谢.
What am I doing wrong in passing the groups
argument to xyplot
- why can't it be found? I can't figure out how it wants the group
information. Thanks.
更新:
@agstudy的答案非常有帮助,但是如果我像原始示例中那样添加面板功能,则仍无法识别组(不进行分组,但也不会发生错误):
@agstudy's answer is very helpful, but if I add the panel function as in the original example, the groups are still not recognized (no grouping, but no error occurs either):
tf <- function(formula = NULL, data = NULL, groups = NULL) {
ll <- as.list(match.call(expand.dots = FALSE)[-1])
p <- xyplot(as.formula(ll$formula),
data = eval(ll$data),
groups = eval(ll$groups),
panel = function(x, y) {
panel.stripplot(x, y, jitter.data = TRUE, pch = 20)
}
)
p
}
仍然缺少某些东西...谢谢.
Something is still missing... Thanks.
推荐答案
由于match.call
返回符号,因此可以在此处使用eval
.
You can use eval
here since match.call
returns symbols.
tf <- function(formula = NULL, data = NULL, groups = NULL) {
ll <- as.list(match.call(expand.dots = FALSE)[-1])
p <- xyplot(as.formula(ll$formula),
data = eval(ll$data),
groups = eval(ll$groups),
panel = function(x, y,...) { ## here ... contains groups and subscripts
## here you can transform x or y before giving them to the jitter
panel.stripplot(x, y, jitter.data = TRUE, pch = 20,...)
}
)
p
}
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