Am new to R, and am required to self-learn how to use it for a task at my current job. First post on StackOverflow too, so forgive my omitting of any essential info.
I am finding that I am not using table() function properly, for it's generating tables that do not include all of the values that should be included. Here's my code/output:
library(tidyverse)
library(dplyr)
cbraw <- read.csv("Cbay.csv")
QS2B = survey zipcode
B11 = Specific survey question
zipcode_table_B11 = cbraw %>%
group_by(QS2B, B11) %>%
summarize(n()) %>%
table()
zipcode_table_B11
Output
B11
QS2B 1 2 3 4 5 8 9
12064 1 0 0 0 0 0 0
12115 0 0 0 0 0 0 0
12116 1 0 0 0 0 0 0
12155 0 0 1 0 0 0 0
This is the excel data (AKA cbraw):
QS2B B11
12064 1.00
12115
12116 1.00
12155 1.00
12155 3.00
12155 1.00
Problem with QS2B column, value 12155
Now, notice how the 12155's on the df have the values 1,3, and 1. Only the '3' is being counted in my output, however.
actual output:
B11
QS2B 1 2 3 4 5 8 9
12064 1 0 0 0 0 0 0
12115 0 0 0 0 0 0 0
12116 1 0 0 0 0 0 0
12155 0 0 1 0 0 0 0
Desired output:
B11
QS2B 1 2 3 4 5 8 9
12064 1 0 0 0 0 0 0
12115 0 0 0 0 0 0 0
12116 1 0 0 0 0 0 0
12155 2 0 1 0 0 0 0
Does anyone know why the 1's are not being counted in my table?
Any help would be greatly appreciated!