[英]Is there a way to divide answers of group_by summary statistics in R?
我正在嘗試從三個向量中對數據進行子集化,然后將算術應用於匯總統計數據,但我遇到了 count() 問題。 以下是使用 (summarise, dplyr) 的摘要,但我希望它以未過濾 (X_age65yr) 的百分比形式返回。
例如,阿拉巴馬州的篩選計數結果為 1667,總計數為 2411。我希望阿拉巴馬州和所有后續州按總數返回篩選計數,或 1667/2411 = .6914 或 69.14%
cthigh <- brfss2013 %>% filter(bphigh4 == "Yes", !is.na(X_age65yr),X_age65yr == "Age 65 or older") %>%
group_by(X_state) %>% summarise(count = n())
cthigh
# A tibble: 53 x 2
X_state count
<fct> <int>
1 Alabama 1667
2 Alaska 507
3 Arizona 930
4 Arkansas 1352
5 California 1817
6 Colorado 2302
7 Connecticut 1488
8 Delaware 1123
9 District of Columbia 1032
10 Florida 8924
# ... with 43 more rows
ctall <- brfss2013 %>% filter(!is.na(X_age65yr),X_age65yr == "Age 65 or older") %>%
group_by(X_state) %>% summarise(count= n())
ctall
# A tibble: 53 x 2
X_state count
<fct> <int>
1 Alabama 2411
2 Alaska 864
3 Arizona 1578
4 Arkansas 2069
5 California 3111
6 Colorado 4067
7 Connecticut 2362
8 Delaware 1786
9 District of Columbia 1683
10 Florida 14245
# ... with 43 more rows
您可以計算bphigh4 == "Yes"
的數量並將其除以每個X_state
的行數以獲得比率。
library(dplyr)
brfss2013 %>%
filter(!is.na(X_age65yr) & !is.na(bphigh4),X_age65yr == "Age 65 or older") %>%
group_by(X_state) %>%
summarise(count = sum(bphigh4 == "Yes")/n() * 100)
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