将字符串转换回 r 中的对象

Question

在R中，我将二进制文件的内容作为字符串获取（由于设计问题，我无法直接访问该文件）。

这个文件原来是lm模型。

如何将该字符串转换回 lm 模型？

谢谢

Answer 1

我假设您根据以下示例（基于）使用了 base::dput()：

# Generate some model over some data
data <- sample(1:100, 30)
df <- data.frame(x = data, y = 2 * data + 20)
model <- lm(y ~ x, df)

# Assuming this is what you did you have the model structure inside model.R
dput(model, control = c("quoteExpressions", "showAttributes"), file = "model.R")


# ----- This is where you are, I presume -----
# So you can copy the content of model.R here (attention to the single quotes)
mstr <- '...'

# Execute the content of mstr as a piece of code (loading the model)
model1 <- eval(parse(text = mstr))

# Parse the formulas
model1$terms <- terms.formula(model1$terms)


# ----- Test it -----
# New data
df1 <- data.frame(x = 101:110)

pred <- as.integer(predict(model, df1))
pred1 <- as.integer(predict(model1, df1))

identical(pred, pred1)
# [1] TRUE


model
# 
# Call:
# lm(formula = y ~ x, data = df)
# 
# Coefficients:
# (Intercept)            x  
#          20            2  
# 

model1
# 
# Call:
# lm(formula = y ~ x, data = df)
# 
# Coefficients:
# (Intercept)            x  
#          20            2  

# Check summary too (you'll see some minor differences)
# summary(model)
# summary(model1)

将字符串转换回 r 中的对象

convert string back into object in r

binary

r

lm