增量變化

Question

樣本數據

A B  C   D E 
1 2016 94.49433733 2 81.28 
5 2016 95.38104534 4 139.6944 
7 2016 95.43885385 1 69.11 
8 2016 94.91936704 1 7.23 
9 2016 95.21859776 3 152.31 
10 2016 95.15797535 1 86.32 
11 2016 95.1830432 2 38.24 
13 2016 94.01256633 2 33.3 

給出的樣本數據，並使用R，我想建立一個順序，讓我從我的預測變量（ç）的增量影響。

預計表（由0.5增加）：

C   ANSWER 
85   
85.05  
85.1   
85.15  
85.2   
85.25  
85.3   
85.35  

我看明白了在C每個增量變化（增加），會發生什麼d？

這裏是我試過變換和應用

transform(df, volumen=unlist(tapply(C, D, function(x) c(0, diff(x))))) 

Answer 1

fit <- lm(D ~ C, data = my_sample_data) #Fits a linear model 
my_sequence <- seq(from = 85, to = 85.35, by = 0.05) # first column 
result <- fit$coefficients[1] + my_sequence * fit$coefficients[2] #2nd column 
df <- data.frame(C = my_sequence, ANSWER = result) #Makes a table