r - R以随机方式跳过for循环的值?
问题描述
我试图去 tru 修改列(round((D$eff)*d,1))
的所有值,for 循环在修改列可以采用的所有可能值之间进行,但仍然认为两个相等的值是不同的。如果我运行此代码:
suma<-function(c,d){
D<-subset(sim)
for (g in 0:c){
print(g*0.1)
D<-subset(D, g*0.1,1!= (round((D$eff)*d,1)))
print(round((D$eff)*d,1))
}
return(round((D$eff)*d,1))
}
它返回:
[1] 2.2
[1] 2.5 2.6 2.6 2.6 2.6 2.5 2.7 2.5 2.7 2.5 2.8 2.9 3.1 2.7 2.5 2.6 3.1 2.8
[19] 2.8 2.3 2.4 2.4 2.5 2.3 2.5 2.5 2.5 2.3 2.5 2.4 2.4 2.5 2.4 2.4 2.5 2.4
[37] 2.5 2.7 2.6 2.5 2.5 2.4 2.5 2.5 2.5 2.4 2.4 2.5 2.6 2.4 2.4 2.5 2.4 2.5
[55] 2.9 2.9 3.0 3.0 2.9 2.5 2.5 2.6 2.5 2.5 2.4 2.5 2.6 2.5 2.6 2.5 2.5 2.6
[73] 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.6 2.6 2.5 2.5 2.5 2.5
[91] 2.5 2.5 2.6 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5
[109] 2.5 2.5 2.4 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.6 2.5 2.4 2.4
[127] 2.6 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.6
[145] 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.6 2.6 2.6 2.5
[163] 2.6 2.6 2.6 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[1] 2.3
[1] 2.5 2.6 2.6 2.6 2.6 2.5 2.7 2.5 2.7 2.5 2.8 2.9 3.1 2.7 2.5 2.6 3.1 2.8
[19] 2.8 2.3 2.4 2.4 2.5 2.3 2.5 2.5 2.5 2.3 2.5 2.4 2.4 2.5 2.4 2.4 2.5 2.4
[37] 2.5 2.7 2.6 2.5 2.5 2.4 2.5 2.5 2.5 2.4 2.4 2.5 2.6 2.4 2.4 2.5 2.4 2.5
[55] 2.9 2.9 3.0 3.0 2.9 2.5 2.5 2.6 2.5 2.5 2.4 2.5 2.6 2.5 2.6 2.5 2.5 2.6
[73] 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.6 2.6 2.5 2.5 2.5 2.5
[91] 2.5 2.5 2.6 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5
[109] 2.5 2.5 2.4 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.6 2.5 2.4 2.4
[127] 2.6 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.6
[145] 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.6 2.6 2.6 2.5
[163] 2.6 2.6 2.6 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[1] 2.4
[1] 2.5 2.6 2.6 2.6 2.6 2.5 2.7 2.5 2.7 2.5 2.8 2.9 3.1 2.7 2.5 2.6 3.1 2.8
[19] 2.8 2.3 2.4 2.4 2.5 2.3 2.5 2.5 2.5 2.3 2.5 2.4 2.4 2.5 2.4 2.4 2.5 2.4
[37] 2.5 2.7 2.6 2.5 2.5 2.4 2.5 2.5 2.5 2.4 2.4 2.5 2.6 2.4 2.4 2.5 2.4 2.5
[55] 2.9 2.9 3.0 3.0 2.9 2.5 2.5 2.6 2.5 2.5 2.4 2.5 2.6 2.5 2.6 2.5 2.5 2.6
[73] 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.6 2.6 2.5 2.5 2.5 2.5
[91] 2.5 2.5 2.6 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5
[109] 2.5 2.5 2.4 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.6 2.5 2.4 2.4
[127] 2.6 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.6
[145] 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.6 2.6 2.6 2.5
[163] 2.6 2.6 2.6 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[1] 2.5
[1] 2.6 2.6 2.6 2.6 2.7 2.7 2.8 2.9 3.1 2.7 2.6 3.1 2.8 2.8 2.3 2.4 2.4 2.3 2.3
[20] 2.4 2.4 2.4 2.4 2.4 2.7 2.6 2.4 2.4 2.4 2.6 2.4 2.4 2.4 2.9 2.9 3.0 3.0 2.9
[39] 2.6 2.4 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.4 2.4 2.4 2.6 2.4 2.4 2.6 2.4 2.4
[58] 2.6 2.6 2.4 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6
[1] 2.6
[1] 2.7 2.7 2.8 2.9 3.1 2.7 3.1 2.8 2.8 2.3 2.4 2.4 2.3 2.3 2.4 2.4 2.4 2.4 2.4
[20] 2.7 2.4 2.4 2.4 2.4 2.4 2.4 2.9 2.9 3.0 3.0 2.9 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[39] 2.4 2.4
[1] 2.7
[1] 2.8 2.9 3.1 3.1 2.8 2.8 2.3 2.4 2.4 2.3 2.3 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[20] 2.4 2.4 2.4 2.9 2.9 3.0 3.0 2.9 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[1] 2.8
[1] 2.8 2.9 3.1 3.1 2.8 2.8 2.3 2.4 2.4 2.3 2.3 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[20] 2.4 2.4 2.4 2.9 2.9 3.0 3.0 2.9 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[1] 2.9
[1] 2.8 2.9 3.1 3.1 2.8 2.8 2.3 2.4 2.4 2.3 2.3 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[20] 2.4 2.4 2.4 2.9 2.9 3.0 3.0 2.9 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[1] 3
[1] 2.8 2.9 3.1 3.1 2.8 2.8 2.3 2.4 2.4 2.3 2.3 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[20] 2.4 2.4 2.4 2.9 2.9 2.9 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[1] 3.1
[1] 2.8 2.9 2.8 2.8 2.3 2.4 2.4 2.3 2.3 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
[20] 2.4 2.9 2.9 2.9 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4 2.4
但是我是否将不等式的左侧部分舍入:
suma<-function(c,d){
D<-subset(sim)
for (g in 0:c){
print(g*0.1)
D<-subset(D, round(g*0.1,1)!= (round((D$eff)*d,1)))
print(round((D$eff)*d,1))
}
return(round((D$eff)*d,1))
}
它返回:
[1] 2.2
[1] 2.5 2.6 2.6 2.6 2.6 2.5 2.7 2.5 2.7 2.5 2.8 2.9 3.1 2.7 2.5 2.6 3.1 2.8
[19] 2.8 2.3 2.4 2.4 2.5 2.3 2.5 2.5 2.5 2.3 2.5 2.4 2.4 2.5 2.4 2.4 2.5 2.4
[37] 2.5 2.7 2.6 2.5 2.5 2.4 2.5 2.5 2.5 2.4 2.4 2.5 2.6 2.4 2.4 2.5 2.4 2.5
[55] 2.9 2.9 3.0 3.0 2.9 2.5 2.5 2.6 2.5 2.5 2.4 2.5 2.6 2.5 2.6 2.5 2.5 2.6
[73] 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.6 2.6 2.5 2.5 2.5 2.5
[91] 2.5 2.5 2.6 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5
[109] 2.5 2.5 2.4 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.6 2.5 2.4 2.4
[127] 2.6 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.6
[145] 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.6 2.6 2.6 2.5
[163] 2.6 2.6 2.6 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[1] 2.3
[1] 2.5 2.6 2.6 2.6 2.6 2.5 2.7 2.5 2.7 2.5 2.8 2.9 3.1 2.7 2.5 2.6 3.1 2.8
[19] 2.8 2.4 2.4 2.5 2.5 2.5 2.5 2.5 2.4 2.4 2.5 2.4 2.4 2.5 2.4 2.5 2.7 2.6
[37] 2.5 2.5 2.4 2.5 2.5 2.5 2.4 2.4 2.5 2.6 2.4 2.4 2.5 2.4 2.5 2.9 2.9 3.0
[55] 3.0 2.9 2.5 2.5 2.6 2.5 2.5 2.4 2.5 2.6 2.5 2.6 2.5 2.5 2.6 2.5 2.5 2.6
[73] 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.6 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6
[91] 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.4
[109] 2.5 2.5 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.4 2.5 2.6 2.5 2.4 2.4 2.6 2.5 2.5
[127] 2.6 2.4 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[145] 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.6 2.6 2.6 2.5 2.6 2.6 2.6
[163] 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[1] 2.4
[1] 2.5 2.6 2.6 2.6 2.6 2.5 2.7 2.5 2.7 2.5 2.8 2.9 3.1 2.7 2.5 2.6 3.1 2.8
[19] 2.8 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.7 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6
[37] 2.5 2.5 2.9 2.9 3.0 3.0 2.9 2.5 2.5 2.6 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.5
[55] 2.6 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.6 2.6 2.5 2.5 2.5
[73] 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5
[91] 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.5 2.6 2.5 2.5
[109] 2.5 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.5 2.6 2.5 2.5 2.5 2.6 2.5 2.5 2.5
[127] 2.5 2.5 2.5 2.6 2.5 2.6 2.5 2.6 2.6 2.6 2.5 2.6 2.6 2.6 2.6 2.5 2.5 2.5
[145] 2.5 2.6 2.5 2.5 2.5
[1] 2.5
[1] 2.6 2.6 2.6 2.6 2.7 2.7 2.8 2.9 3.1 2.7 2.6 3.1 2.8 2.8 2.7 2.6 2.6 2.9 2.9
[20] 3.0 3.0 2.9 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6
[39] 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6
[1] 2.6
[1] 2.7 2.7 2.8 2.9 3.1 2.7 3.1 2.8 2.8 2.7 2.9 2.9 3.0 3.0 2.9
[1] 2.7
[1] 2.8 2.9 3.1 3.1 2.8 2.8 2.9 2.9 3.0 3.0 2.9
[1] 2.8
[1] 2.9 3.1 3.1 2.9 2.9 3.0 3.0 2.9
[1] 2.9
[1] 3.1 3.1 3.0 3.0
[1] 3
[1] 3.1 3.1
[1] 3.1
numeric(0)
有谁知道为什么会这样?先感谢您。
解决方案
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