Open krittschof opened 3 years ago
I think I may have figured it out: data$Summer <- ifelse( data$math_8 <= '60', 1, 0)
data$noSummer <- ifelse(data$math_8 >= '60', 1, 0)
head(data)
ifelse is the command, not if_else.
Also if you put 60 in quotes, then the computer is going to think it is a string not a number.
Finally if you do <= 60 and >= 60 then students who had a 60 would get a 1 for both groups.
It should be:
data$Summer <- ifelse( data$math_8 < 60, 1, 0) data$noSummer <- ifelse( data$math_8 >= 60, 1, 0)
On Sat, Jul 31, 2021 at 2:01 PM krittschof @.***> wrote:
I think I may have figured it out: data$Summer <- ifelse( data$math_8 <= '60', 1, 0)
data$noSummer <- if_else(data$math_8 >= '60', 1, 0)
head(data)
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Excellent. Thank you! Patting myself on the back, at least I was close.
Another question as it pertains to Q1d and dummy variables; are we to create dummy variables for the 2nd part of 1d? Or since it is pre-treatment, are we just comparing the Cumulative math scores for the 7th graders?
I am struggling with Q1a. I have used the Google and researched previous class notes to assist. Please assist me as I have far exceeded the 20 minutes to do research and write:
create dummy variables
Score_Below <- if_else( data$math_8 < '60', 1, 0)
Score_Above <- if_else(data$math_8 >= '60', 1, 0)
create data frame to use for regression
df_data <- data(gpa_8 = data$gpa_8, gpa_9 = data$gpa_9, math_7 = data$math_7, Score_Below = Score_Below, Score_Above = Score_Above)
If there is additional material to guide me, please provide. I could be missing it in the lecture(s). Thanks.