gpt4 book ai didi

R:将其编写为函数的变量排名模型自动化代码

转载 作者:行者123 更新时间:2023-12-04 09:13:09 25 4
gpt4 key购买 nike

如何将下面的命令列表写入一个函数中?

例如:VariableRanking <- function(formula, variables,.....) {插入命令.........

#Variable Ranking Model automation
#exclusion of the variables that are not model variables
exclude <- c("~,", "+" ) # exclude target which is bound_count for Property
formula <- toString(formula)
formula

#listing the entire model formula out
variables_pre <- unlist(strsplit(formula, split = " "))
variables_pre

#keeping only the model variables
variables <- sort(variables_pre[!variables_pre %in% exclude])
variables

#Exclude "," on the target variable
variables[1] <- substr(variables[1], 1, nchar(variables[1])-1)
variables

#Assigning the variables into a data frame
d <- c(1:length(variables))
d
d= data.frame(d)
d
d= t(d)
d
colnames(d)=variables
d

# exclude target variable on the data frame
allvariables <- colnames(d)[-1]
allvariables
# container for models
listOfModels <- vector("list", length(allvariables))
listOfModels
# loop over variables
for (i in seq_along(allvariables)) {
# exclude variable i
currentvariable <- allvariables[-i]
# programmatically assemble regression formula
regressionFormula <- as.formula(
paste(variables[1],"~", paste(currentvariable, collapse="+")))
# fit model
currentModel <- glm(formula = regressionFormula, family=binomial(link = "logit"), data=dataL_TT)
# store model in container
listOfModels[[i]] <- currentModel
}
listOfModels

#List of AICs for each model
lapply(listOfModels,function(xx) xx$aic)

#Assign X as the AIC of the full model
X <- modelTT$aic
X

# Difference of AICs of each model to the AIC of the full model
AICdifference <- lapply(listOfModels,function(xx) xx$aic - X)
AICdifference

# Naming the AIC Difference
AICdifference2 = data.frame(variables=allvariables, AICdiff=unlist(AICdifference))
AICdifference2

#Graph the Barchart of the AIC decrease of each variables and save it to pdf

pdf("Barchart.pdf",width=12,height=10)
par(mar=c(2,18,2,5))

barplot(sort(AICdifference2$AICdiff, decreasing = F), main="Variable Ranking based on AIC decrease",
horiz=TRUE, xlab="AIC Increase", names.arg= AICdifference2$variables[order(AICdifference2$AICdiff, decreasing = F)],
las=1, col= 'dodgerblue4')

dev.off()

这可能吗?因为它有很多参数。所以基本上我只需要 AICdifference2 数据框的输出。并将条形图另存为pdf并弹出

最佳答案

试试这个:

FOO <- function(myformula, data, fullmodel_AIC, plotname){

exclude <- c("~,", "+" ) # exclude target which is bound_count for Property
myformula <- toString(myformula)

variables_pre <- unlist(strsplit(myformula, split = " "))
variables <- sort(variables_pre[!variables_pre %in% exclude])
variables[1] <- substr(variables[1], 1, nchar(variables[1])-1)

d <- t(data.frame(c(1:length(variables))))
colnames(d)=variables

allvariables <- colnames(d)[-1]

listOfModels <- vector("list", length(allvariables))

for (i in seq_along(allvariables)) {
# exclude variable i
currentvariable <- allvariables[-i]
# programmatically assemble regression formula
regressionFormula <- as.formula(
paste(variables[1],"~", paste(currentvariable, collapse="+")))
# fit model
currentModel <- glm(formula = regressionFormula, family=binomial(link = "logit"), data = data)
# store model in container
listOfModels[[i]] <- currentModel
}

AICdifference <- lapply(listOfModels,function(xx) xx$aic - fullmodel_AIC)
AICdifference2 <- data.frame(variables=allvariables, AICdiff=unlist(AICdifference))

pdf(paste0(plotname, ".pdf"),width=12,height=10)
par(mar=c(2,18,2,5))

barplot(sort(AICdifference2$AICdiff, decreasing = F), main="Variable Ranking based on AIC decrease",
horiz=TRUE, xlab="AIC Increase", names.arg= AICdifference2$variables[order(AICdifference2$AICdiff, decreasing = F)],
las=1, col= 'dodgerblue4')

dev.off()

return(AICdifference2)
}

您需要四个参数:myformuladata(代码中的dataL_TT)、fullmodel_AIC (modelTT$aic 在你的代码中),以及一个字符串来命名你的情节。

尝试使用 FOO(myformula, dataL_TT, modelTT$aic, "test") 调用它并为 myformula 插入公式对象。

我已经将 formula 更改为 myformula 因为 formula 是 stats 包的基本函数,使用 object 通常是不明智的作为基本函数的名称。

关于R:将其编写为函数的变量排名模型自动化代码,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48782281/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com