我有一个循环问题.它应该很容易解决,但"St for Stata用户"(我在Stata编码了几年),Roger Peng的视频和谷歌似乎没有帮助我.你们其中一个可以向我解释一下我做错了什么吗?
我正在尝试编写一个贯穿'thresholds'数据帧的循环来从三组列中提取信息.我可以通过三次编写相同的代码段来做我想做的事情,但随着代码变得越来越复杂,这将变得非常麻烦.
以下是"阈值"的示例(请参阅dput下面的输出,由友好的读者添加):
threshold_1_name threshold_1_dir threshold_1_value
1 overweight > 25
2 possible malnutrition < 31
3 Q1 > 998
4 Q1 > 998
5 Q1 > 998
6 Q1 > 998
threshold_1_units threshold_2_name threshold_2_dir threshold_2_value threshold_2_units
1 kg/m^2 obese > 30 kg/m^2
2 cm <NA> > NA
3 <NA> Q3 > 998
4 Q3 > 998
5 Q3 > 998
6 Q3 > 998
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这段代码做我想做的事:
newvars1 <- paste(thresholds$varname, thresholds$threshold_1_name, sep = "_")
noval <- is.na(thresholds$threshold_1_value)
newvars1 <- newvars1[!noval]
newvars2 <- paste(thresholds$varname, thresholds$threshold_2_name, sep = "_")
noval <- is.na(thresholds$threshold_2_value)
newvars2 <- newvars2[!noval]
newvars3 <- paste(thresholds$varname, thresholds$threshold_3_name, sep = "_")
noval <- is.na(thresholds$threshold_3_value)
newvars3 <- newvars3[!noval]
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以下是我试图循环的方式:
variables <- NULL
for (i in 1:3) {
valuevar <- paste("threshold", i, "value", sep = "_")
namevar <- paste("threshold", i, "name", sep = "_")
newvar <- paste("varnames", i, sep = "")
for (j in 1:length(thresholds$varname)) {
check <- is.na(thresholds[valuevar[j]])
if (check == FALSE) {
newvars <- paste(thresholds$varname, thresholds[namevar], sep = "_")
}
}
variables <- c(variables, newvars)
}
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这是我收到的错误:
Error: unexpected '}' in "}"
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我认为我称之为"我"的方式正在搞乱,但我不确定如何正确地做到这一点.当我切换到R时,我使用当地人的Stata习惯真的咬我的屁股.
编辑以增加dput输出,由友好的读者:
thresholds <- structure(list(varname = structure(1:6, .Label = c("varA", "varB",
"varC", "varD", "varE", "varF"), class = "factor"), threshold_1_name = c("overweight",
"possible malnutrition", "Q1", "Q1", "Q1", "Q1"), threshold_1_dir = c(">",
"<", ">", ">", ">", ">"), threshold_1_value = c(25L, 31L, 998L,
998L, 998L, 998L), threshold_1_units = c("kg/m^2", "cm", NA,
NA, NA, NA), threshold_2_name = c("obese", "<NA>", "Q3", "Q3",
"Q3", "Q3"), threshold_2_dir = c(">", ">", ">", ">", ">", ">"
), threshold_2_value = c(30L, NA, 998L, 998L, 998L, 998L), threshold_2_units = c("kg/m^2",
"cm", NA, NA, NA, NA)), .Names = c("varname", "threshold_1_name",
"threshold_1_dir", "threshold_1_value", "threshold_1_units",
"threshold_2_name", "threshold_2_dir", "threshold_2_value", "threshold_2_units"
), row.names = c(NA, -6L), class = "data.frame")
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我看到的第一个问题是,如果你正在测试它需要的条件,if(check = "FALSE")那就是一个任务.另外,引用这个词意味着你正在测试字符串值的变量(字面意思是单词FALSE),而不是逻辑值,它没有引号.==="FALSE"FALSE
@BlueMagister正确地指出了第二个问题,你)在结束时失踪了for (j in 1:length(...)) {
for (j in 1:length(thresholds$varname)) {
check <- is.na(thresholds[valuevar[j]])
if (check = "FALSE") { # bad!
newvars <- paste(thresholds$varname, thresholds[namevar], sep = "_")
}
}
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for (j in 1:length(thresholds$varname)) {
check <- is.na(thresholds[valuevar[j]])
if (check == FALSE) { # good!
newvars <- paste(thresholds$varname, thresholds[namevar], sep = "_")
}
}
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但是因为它是一个if语句,你可以使用非常简单的逻辑,特别是逻辑(TRUE/FALSE值).
for (j in 1:length(thresholds$varname)) {
check <- is.na(thresholds[valuevar[j]])
if (!check) { # better!
newvars <- paste(thresholds$varname, thresholds[namevar], sep = "_")
}
}
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