Question

我的R代码有一个小问题。我认为这很容易解决，但是我对R的经验很少。

我有一个线性模型，使用drop1函数后，我有了p值（请参见下面的代码）。我已经在我的第一学期A1中做到了这一点。

因此，我想对A2 A3进行相同操作，依此类推，并希望将所有p值存储在一个文件中。我需要提取sie p值并使用某种循环。我需要什么样的功能？如何提取p值？

mod1<-lm(A1~B+C, data=ipo) 
drop1(mod1, test="F")


dput(head(ipo, 20))
structure(list(C = c(461.875, 441.85, 2133.025, 2213.704167, 
1533.120833, 1423.529167, 1011.6875, 985.1, 221.2708333, 200.1291667, 
336.875, 310.6875, 228.7583333, 220.4875, 452.7416667, 435.5416667, 
242.0041667, 232.4833333, 411.4458333, 412.5875), A1 = c(32925L, 
30797L, 162617L, 159828L, 110595L, 112922L, 78285L, 73708L, 14542L, 
14271L, 24484L, 23792L, 18269L, 15513L, 34383L, 32109L, 16531L, 
17279L, 30179L, 29919L), A2 = c(32925L, 30797L, 162617L, 159828L, 
110595L, 112922L, 78285L, 73708L, 14542L, 14271L, 24484L, 23792L, 
18269L, 15513L, 34383L, 32109L, 16531L, 17279L, 30179L, 29919L
), B = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L), .Label = c("A", "B", "C", 
"D", "E", "F", "G", "H"), class = "factor")), .Names = c("C", 
"A1", "A2", "B"), row.names = c(NA, 20L), class = "data.frame")

Answer 1

您可以尝试$ [sudo] gem install cocoapods --pre

tidyverse

Answer 2

此解决方案使用包reshape2和函数melt来将数据从宽格式整形为长格式。其余的仅是基数R。

long <- reshape2::melt(ipo, id.vars = c("B", "C"))

sp <- split(long, long$variable)
res <- lapply(sp, function(DF){
  fit <- lm(value ~ B + C, data = DF)
  d <- drop1(fit)[-1, ]
  attr(d, "heading") <- NULL
  d
})

do.call(rbind, res)
#     Df  Sum of Sq        RSS    AIC
#A1.B  2 8.3683e+05 1.2415e+08 316.83
#A1.C  1 1.8533e+10 1.8656e+10 419.07
#A2.B  2 8.3683e+05 1.2415e+08 316.83
#A2.C  1 1.8533e+10 1.8656e+10 419.07

Answer 3

这里是仅提取p值的基本R解决方案。这应该可以帮助您入门-如果您无法按照自己的意愿更改输出，请告诉我。祝你好运！

# Get DV names
dvs <- names(ipo)[2:3]

# Create formula objects
formula_text <- paste0(dvs, " ~ B + C")
formulas <- lapply(formula_text, formula)

# Run models with drop1
models <- lapply(formulas, function(x){
  drop1(lm(x, data = ipo), test = "F")
})

# Extract p-values
model_pvals <- lapply(models, function(x) x[["Pr(>F)"]])

# Name and turn list into dataframe
names(model_pvals) <- formula_text

do.call(rbind, model_pvals)
           [,1]      [,2]         [,3]
A1 ~ B + C   NA 0.9473321 7.177227e-19
A2 ~ B + C   NA 0.9473321 7.177227e-19

R-lm p值循环

3 个答案: