install.packages("rjson")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)
install.packages("tidyverse")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)
install.packages("fivethirtyeight")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.3'
## (as 'lib' is unspecified)
# // Part 1 // JSON Data as lists
dogs.json = '[
{
"breed_group": "Mixed",
"height": {
"imperial": "14 - 24",
"metric": "36 - 61"
},
"id": 148,
"life_span": "10 - 15 years",
"name": "Labradoodle",
"weight": {
"imperial": "45 - 100",
"metric": "20 - 45"
}
},
{
"bred_for": "Water retrieving",
"breed_group": "Sporting",
"height": {
"imperial": "21.5 - 24.5",
"metric": "55 - 62"
},
"id": 149,
"life_span": "10 - 13 years",
"name": "Labrador Retriever",
"reference_image_id": "B1uW7l5VX",
"temperament": "Kind, Outgoing, Agile, Gentle, Intelligent, Trusting, Even Tempered",
"weight": {
"imperial": "55 - 80",
"metric": "25 - 36"
}
}
]'
typeof(dogs.json)
## [1] "character"
library(rjson)
# Convert our JSON data into a series of nested lists in R.
dogs.list = rjson::fromJSON(dogs.json)
#Dog List
typeof(dogs.list )
## [1] "list"
str(dogs.list)
## List of 2
## $ :List of 6
## ..$ breed_group: chr "Mixed"
## ..$ height :List of 2
## .. ..$ imperial: chr "14 - 24"
## .. ..$ metric : chr "36 - 61"
## ..$ id : num 148
## ..$ life_span : chr "10 - 15 years"
## ..$ name : chr "Labradoodle"
## ..$ weight :List of 2
## .. ..$ imperial: chr "45 - 100"
## .. ..$ metric : chr "20 - 45"
## $ :List of 9
## ..$ bred_for : chr "Water retrieving"
## ..$ breed_group : chr "Sporting"
## ..$ height :List of 2
## .. ..$ imperial: chr "21.5 - 24.5"
## .. ..$ metric : chr "55 - 62"
## ..$ id : num 149
## ..$ life_span : chr "10 - 13 years"
## ..$ name : chr "Labrador Retriever"
## ..$ reference_image_id: chr "B1uW7l5VX"
## ..$ temperament : chr "Kind, Outgoing, Agile, Gentle, Intelligent, Trusting, Even Tempered"
## ..$ weight :List of 2
## .. ..$ imperial: chr "55 - 80"
## .. ..$ metric : chr "25 - 36"
# 1. Four Nested Lists, two for each dog
# 2. False - they do not need identical elements.
# 3. What is the lifespan of Lab Retrievers?
names_vec <- sapply(dogs.list, function(x) x$name)
lab_idx <- which(names_vec == "Labrador Retriever")
lab_lifespan <- dogs.list[[lab_idx]]$life_span
lab_lifespan
## [1] "10 - 13 years"
# 3. Answer is 10-13 years.
# 4. What is the metric height of the Labradoodle?
names_vec <- sapply(dogs.list, function(x) x$name)
labra_idx <- which(names_vec == "Labradoodle")
labra_height_metric <- dogs.list[[labra_idx]]$height$metric
labra_height_metric
## [1] "36 - 61"
# 4. Answer is 36-61
# // Part 2 //
# Load the necessary package
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.2 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
# Load the air_quality data frame
load("air_quality.RData")
# Inspect the class to confirm that we have a tibble. The R class for a tibble is tbl_df
class(air_quality)
## [1] "tbl_df" "tbl" "data.frame"
# Use names() to see the column names
names(air_quality)
## [1] "Date" "Time" "CO(GT)" "PT08.S1(CO)"
## [5] "NMHC(GT)" "C6H6(GT)" "PT08.S2(NMHC)" "NOx(GT)"
## [9] "PT08.S3(NOx)" "NO2(GT)" "PT08.S4(NO2)" "PT08.S5(O3)"
## [13] "T" "RH" "AH"
summary(air_quality$`CO(GT)`)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -200.00 0.60 1.50 -34.21 2.60 11.90 114
summary(air_quality$`NO2(GT)`)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -200.00 53.00 96.00 58.15 133.00 340.00 114
# 1. The physically impossible variables are the negative numbers. For example, -200 is physically impossible.
# 2. Clean up the negative entries with "NA"
air_quality$`CO(GT)`[air_quality$`CO(GT)` == -200] <- NA
air_quality$`NO2(GT)`[air_quality$`NO2(GT)` == -200] <- NA
summary(air_quality$`CO(GT)`)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 0.100 1.100 1.800 2.153 2.900 11.900 1797
summary(air_quality$`NO2(GT)`)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## 2.0 78.0 109.0 113.1 142.0 340.0 1756
# 3. New Dataset air_quality2
library(dplyr)
air_quality2 <- air_quality %>%
mutate(
CO_interval = cut(
`CO(GT)`,
breaks = c(-Inf, 1, 2, Inf),
labels = c("≤1", "1–2", ">2"),
right = TRUE
)
)
table(air_quality2$CO_interval, useNA = "ifany")
##
## ≤1 1–2 >2 <NA>
## 1861 2485 3328 1797
print(air_quality2$CO_interval, useNA = "ifany")
## [1] >2 1–2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [15] 1–2 >2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2
## [29] 1–2 ≤1 1–2 1–2 1–2 ≤1 <NA> ≤1 ≤1 1–2 >2 <NA> >2 >2
## [43] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [57] 1–2 1–2 <NA> ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [71] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 <NA> 1–2
## [85] ≤1 ≤1 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 >2 >2 >2 >2
## [99] >2 >2 >2 >2 1–2 1–2 1–2 1–2 <NA> ≤1 1–2 >2 >2 >2
## [113] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [127] >2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [141] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [155] <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2
## [169] >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [183] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [197] >2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2
## [211] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [225] 1–2 1–2 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 1–2
## [239] 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 <NA> 1–2
## [253] ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2
## [267] >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2
## [281] 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [295] ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [309] >2 1–2 1–2 >2 1–2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1
## [323] <NA> ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 1–2 >2 <NA> >2 >2
## [337] >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [351] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 >2 1–2 >2 >2 >2 >2
## [365] 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2
## [379] 1–2 >2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1
## [393] 1–2 1–2 <NA> ≤1 ≤1 1–2 1–2 1–2 >2 >2 1–2 >2 >2 1–2
## [407] >2 >2 >2 >2 >2 >2 1–2 >2 >2 >2 1–2 >2 1–2 ≤1
## [421] 1–2 1–2 1–2 1–2 >2 >2 1–2 1–2 ≤1 1–2 1–2 1–2 1–2 1–2
## [435] 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 1–2
## [449] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 1–2 1–2 ≤1
## [463] ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [477] >2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [491] ≤1 ≤1 ≤1 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2
## [505] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2 >2
## [519] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2
## [533] 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 >2
## [547] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 1–2 1–2
## [561] 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 <NA> <NA> <NA> <NA> <NA> <NA>
## [575] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [589] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [603] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [617] >2 >2 >2 >2 >2 >2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [631] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 >2 >2
## [645] >2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1
## [659] ≤1 ≤1 ≤1 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2
## [673] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 <NA> ≤1 1–2 >2
## [687] >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2 >2 >2 1–2
## [701] 1–2 1–2 >2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2
## [715] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [729] 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 >2 1–2 1–2 1–2 1–2
## [743] 1–2 1–2 1–2 >2 >2 1–2 >2 >2 1–2 1–2 ≤1 ≤1 <NA> ≤1
## [757] ≤1 ≤1 1–2 ≤1 1–2 1–2 >2 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2
## [771] 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [785] ≤1 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [799] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 1–2 1–2
## [813] 1–2 >2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1
## [827] <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 <NA> <NA> <NA> <NA> <NA>
## [841] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [855] <NA> >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [869] >2 >2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 >2
## [883] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [897] 1–2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [911] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [925] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [939] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [953] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [967] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [981] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [995] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1009] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1023] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1037] <NA> <NA> <NA> <NA> <NA> <NA> <NA> ≤1 ≤1 >2 >2 >2 >2 >2
## [1051] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 1–2 >2 >2
## [1065] 1–2 1–2 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [1079] 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 1–2 <NA> ≤1
## [1093] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 >2
## [1107] >2 1–2 >2 >2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 1–2
## [1121] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [1135] ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 1–2 1–2 1–2 >2 >2
## [1149] 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [1163] <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [1177] >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2
## [1191] >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [1205] >2 >2 >2 1–2 1–2 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 >2
## [1219] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [1233] 1–2 1–2 <NA> ≤1 ≤1 1–2 1–2 1–2 >2 1–2 1–2 1–2 1–2 1–2
## [1247] 1–2 1–2 >2 >2 >2 1–2 >2 >2 >2 1–2 ≤1 1–2 <NA> ≤1
## [1261] ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2
## [1275] >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2
## [1289] >2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [1303] 1–2 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 1–2 >2 >2 >2
## [1317] >2 >2 1–2 1–2 >2 >2 >2 >2 ≤1 1–2 ≤1 ≤1 ≤1 ≤1
## [1331] <NA> ≤1 1–2 >2 <NA> >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [1345] >2 1–2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2
## [1359] >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 1–2 >2 >2 1–2
## [1373] ≤1 1–2 >2 1–2 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 1–2
## [1387] 1–2 >2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 >2 1–2 >2
## [1401] ≤1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1415] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1429] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1443] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> >2
## [1457] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [1471] ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [1485] 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1
## [1499] <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [1513] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [1527] >2 >2 >2 1–2 1–2 >2 1–2 >2 >2 >2 >2 >2 >2 >2
## [1541] >2 >2 >2 >2 1–2 ≤1 <NA> 1–2 1–2 >2 <NA> >2 >2 1–2
## [1555] 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [1569] ≤1 1–2 <NA> ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2
## [1583] 1–2 1–2 >2 >2 >2 >2 1–2 >2 >2 1–2 ≤1 ≤1 <NA> ≤1
## [1597] ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 >2
## [1611] >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 1–2 1–2
## [1625] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [1639] ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 >2 >2 >2 >2 1–2 >2 >2
## [1653] 1–2 >2 1–2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [1667] <NA> ≤1 ≤1 >2 >2 >2 >2 >2 1–2 >2 >2 >2 >2 >2
## [1681] >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 >2
## [1695] >2 >2 >2 >2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2
## [1709] >2 >2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 >2 >2 >2 >2 1–2
## [1723] 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [1737] 1–2 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 1–2 >2 1–2 1–2 1–2
## [1751] >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 <NA> ≤1
## [1765] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2
## [1779] ≤1 ≤1 1–2 ≤1 ≤1 ≤1 ≤1 <NA> <NA> ≤1 ≤1 1–2 1–2 1–2
## [1793] ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 ≤1 ≤1 ≤1
## [1807] ≤1 ≤1 <NA> <NA> <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [1821] >2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1835] <NA> <NA> <NA> <NA> <NA> >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 <NA>
## [1849] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1863] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1877] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [1891] <NA> <NA> <NA> 1–2 1–2 >2 >2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2
## [1905] ≤1 ≤1 <NA> <NA> ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [1919] ≤1 ≤1 ≤1 ≤1 1–2 ≤1 1–2 >2 >2 1–2 ≤1 ≤1 <NA> ≤1
## [1933] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [1947] 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> <NA> <NA> <NA> ≤1 1–2 >2 >2
## [1961] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 1–2 ≤1 ≤1 ≤1
## [1975] ≤1 <NA> <NA> <NA> <NA> ≤1 ≤1 1–2 >2 >2 1–2 1–2 1–2 >2
## [1989] 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2 >2 ≤1 <NA> <NA> <NA>
## [2003] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [2017] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [2031] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [2045] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [2059] <NA> <NA> <NA> <NA> >2 >2 >2 >2 >2 1–2 1–2 >2 >2 1–2
## [2073] 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 1–2
## [2087] 1–2 1–2 >2 >2 1–2 ≤1 ≤1 1–2 1–2 ≤1 1–2 1–2 ≤1 ≤1
## [2101] ≤1 ≤1 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [2115] 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2
## [2129] >2 >2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [2143] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [2157] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [2171] ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2
## [2185] >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2
## [2199] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [2213] >2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 <NA> 1–2
## [2227] 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2 ≤1
## [2241] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 1–2 1–2 1–2 1–2 1–2
## [2255] 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1
## [2269] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [2283] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 1–2 1–2
## [2297] 1–2 1–2 1–2 1–2 ≤1 1–2 1–2 >2 >2 1–2 1–2 ≤1 1–2 1–2
## [2311] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2
## [2325] 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 1–2 1–2 ≤1 ≤1
## [2339] ≤1 ≤1 ≤1 >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2
## [2353] >2 >2 >2 >2 >2 >2 >2 >2 ≤1 ≤1 <NA> ≤1 1–2 >2
## [2367] >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2
## [2381] 1–2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2
## [2395] >2 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 1–2 ≤1
## [2409] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [2423] 1–2 ≤1 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 ≤1 1–2 <NA> ≤1
## [2437] ≤1 ≤1 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 >2
## [2451] 1–2 1–2 >2 >2 >2 >2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2
## [2465] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 1–2 1–2
## [2479] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2
## [2493] >2 1–2 >2 >2 >2 >2 >2 1–2 1–2 >2 1–2 ≤1 ≤1 ≤1
## [2507] <NA> ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2 >2
## [2521] >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [2535] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [2549] >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2
## [2563] >2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 ≤1
## [2577] ≤1 1–2 <NA> ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [2591] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1
## [2605] ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2
## [2619] 1–2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2
## [2633] >2 >2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [2647] 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2
## [2661] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 ≤1 ≤1 ≤1
## [2675] ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2
## [2689] >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2
## [2703] >2 >2 >2 1–2 >2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2
## [2717] >2 >2 >2 1–2 1–2 ≤1 <NA> ≤1 ≤1 >2 >2 >2 >2 1–2
## [2731] 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 >2 1–2 >2 1–2
## [2745] ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1
## [2759] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 1–2 1–2 ≤1 ≤1 ≤1
## [2773] ≤1 ≤1 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [2787] 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2
## [2801] >2 >2 >2 >2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [2815] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [2829] 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1
## [2843] ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 1–2 >2 >2 1–2 1–2 >2
## [2857] >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 >2
## [2871] >2 >2 >2 >2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2
## [2885] >2 >2 >2 >2 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 1–2 1–2 1–2
## [2899] 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 >2 >2 1–2
## [2913] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1
## [2927] ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 >2 ≤1 ≤1 ≤1 ≤1 ≤1
## [2941] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [2955] 1–2 1–2 >2 1–2 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 1–2
## [2969] 1–2 1–2 >2 >2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [2983] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [2997] 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [3011] ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 >2 >2 >2
## [3025] >2 >2 >2 >2 1–2 1–2 >2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 >2
## [3039] >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2
## [3053] >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 1–2 >2
## [3067] >2 >2 >2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [3081] 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2 >2 1–2 1–2 1–2 ≤1 ≤1
## [3095] 1–2 1–2 1–2 >2 1–2 1–2 >2 >2 >2 1–2 1–2 ≤1 <NA> ≤1
## [3109] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [3123] ≤1 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 >2 >2 >2
## [3137] >2 >2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3151] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3165] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3179] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3193] >2 >2 >2 >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1 1–2 >2
## [3207] <NA> <NA> >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2
## [3221] >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 1–2
## [3235] >2 >2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 >2 1–2
## [3249] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 1–2 1–2 1–2 ≤1 ≤1
## [3263] 1–2 1–2 1–2 1–2 1–2 ≤1 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1
## [3277] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [3291] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3305] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3319] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3333] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3347] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3361] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3375] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3389] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3403] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3417] <NA> <NA> <NA> ≤1 1–2 ≤1 1–2 >2 >2 >2 >2 >2 1–2 ≤1
## [3431] 1–2 ≤1 1–2 1–2 1–2 >2 1–2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1
## [3445] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [3459] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 <NA> 1–2
## [3473] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 1–2 1–2 1–2 ≤1 ≤1
## [3487] ≤1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3501] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3515] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3529] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3543] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3557] <NA> <NA> <NA> <NA> <NA> <NA> <NA> ≤1 1–2 >2 >2 >2 >2 >2
## [3571] >2 >2 1–2 1–2 >2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2
## [3585] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1
## [3599] ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1
## [3613] ≤1 ≤1 ≤1 1–2 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [3627] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2
## [3641] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 1–2 1–2 1–2 1–2
## [3655] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 1–2 ≤1
## [3669] ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1
## [3683] ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2
## [3697] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [3711] >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2
## [3725] 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2
## [3739] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 ≤1 1–2 1–2 1–2 ≤1
## [3753] ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [3767] ≤1 ≤1 ≤1 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> ≤1
## [3781] ≤1 ≤1 ≤1 1–2 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [3795] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2
## [3809] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 ≤1
## [3823] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 1–2 <NA> <NA> <NA>
## [3837] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3851] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> 1–2 1–2
## [3865] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [3879] 1–2 ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 <NA>
## [3893] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3907] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3921] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3935] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3949] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [3963] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> 1–2
## [3977] <NA> 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [3991] 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 1–2 1–2 1–2 1–2 1–2
## [4005] ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1
## [4019] ≤1 ≤1 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [4033] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [4047] >2 1–2 1–2 1–2 1–2 1–2 ≤1 1–2 ≤1 >2 1–2 >2 1–2 ≤1
## [4061] 1–2 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 1–2
## [4075] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [4089] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 <NA> <NA>
## [4103] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4117] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4131] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4145] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4159] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4173] >2 1–2 1–2 1–2 >2 >2 1–2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1
## [4187] ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 >2 1–2 1–2 1–2 >2 >2
## [4201] >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2
## [4215] >2 >2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4229] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4243] <NA> <NA> <NA> <NA> <NA> >2 >2 >2 >2 >2 1–2 1–2 >2 1–2
## [4257] ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 >2 >2 >2 1–2 1–2 1–2
## [4271] >2 >2 >2 1–2 1–2 1–2 1–2 >2 >2 >2 1–2 ≤1 1–2 ≤1
## [4285] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [4299] 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 1–2 1–2
## [4313] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2
## [4327] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 >2 >2
## [4341] 1–2 1–2 1–2 >2 >2 >2 >2 >2 <NA> <NA> <NA> <NA> <NA> <NA>
## [4355] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> >2
## [4369] >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2
## [4383] >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2
## [4397] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 1–2 >2
## [4411] >2 >2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 <NA>
## [4425] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4439] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4453] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4467] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4481] >2 >2 >2 >2 >2 1–2 >2 >2 <NA> >2 >2 >2 >2 ≤1
## [4495] ≤1 ≤1 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4509] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4523] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> >2
## [4537] >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2
## [4551] >2 >2 >2 1–2 1–2 >2 1–2 1–2 >2 >2 >2 >2 >2 1–2
## [4565] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 1–2 1–2 1–2
## [4579] 1–2 >2 1–2 1–2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1
## [4593] ≤1 ≤1 <NA> ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [4607] 1–2 1–2 1–2 >2 1–2 1–2 1–2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [4621] ≤1 ≤1 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 >2 >2 >2
## [4635] >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 <NA> >2
## [4649] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [4663] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [4677] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [4691] ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [4705] >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 >2
## [4719] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [4733] >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2
## [4747] >2 >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 1–2 1–2 1–2
## [4761] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1
## [4775] 1–2 1–2 1–2 >2 >2 1–2 >2 >2 >2 >2 1–2 1–2 <NA> ≤1
## [4789] ≤1 ≤1 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2
## [4803] >2 1–2 1–2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 1–2
## [4817] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 1–2 1–2
## [4831] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [4845] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [4859] <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [4873] >2 >2 >2 1–2 1–2 1–2 ≤1 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4887] <NA> <NA> <NA> <NA> 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2
## [4901] 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2
## [4915] >2 >2 >2 >2 >2 >2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4929] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4943] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4957] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4971] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4985] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [4999] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5013] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5027] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5041] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5055] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> >2 >2 >2 >2 >2 >2
## [5069] 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2
## [5083] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2
## [5097] 1–2 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 >2
## [5111] >2 >2 >2 >2 >2 >2 1–2 >2 >2 1–2 1–2 1–2 <NA> ≤1
## [5125] 1–2 1–2 1–2 ≤1 1–2 1–2 >2 1–2 1–2 1–2 1–2 1–2 1–2 >2
## [5139] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2
## [5153] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [5167] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 <NA> <NA> <NA> <NA> <NA>
## [5181] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5195] <NA> <NA> <NA> <NA> <NA> 1–2 1–2 <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5209] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5223] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5237] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5251] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5265] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5279] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5293] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5307] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5321] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5335] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5349] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5363] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> >2 >2
## [5377] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 <NA> ≤1 1–2 >2
## [5391] >2 >2 >2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [5405] >2 >2 >2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 >2 >2 >2 >2 >2
## [5419] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2
## [5433] ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [5447] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 <NA> 1–2
## [5461] 1–2 1–2 ≤1 1–2 >2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2
## [5475] >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2
## [5489] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [5503] >2 1–2 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2
## [5517] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1
## [5531] <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [5545] >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2
## [5559] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [5573] ≤1 1–2 ≤1 ≤1 ≤1 ≤1 <NA> 1–2 1–2 >2 >2 >2 1–2 >2
## [5587] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 >2 >2 1–2
## [5601] 1–2 1–2 <NA> ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [5615] >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 <NA> ≤1
## [5629] ≤1 ≤1 ≤1 1–2 >2 >2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [5643] >2 >2 >2 >2 >2 >2 >2 >2 <NA> >2 1–2 1–2 1–2 1–2
## [5657] >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2
## [5671] >2 1–2 1–2 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [5685] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2 ≤1
## [5699] <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [5713] >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1
## [5727] >2 >2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> >2 >2 >2 >2
## [5741] >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2
## [5755] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2
## [5769] 1–2 1–2 ≤1 ≤1 ≤1 1–2 >2 >2 1–2 >2 >2 >2 >2 >2
## [5783] >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 <NA> ≤1
## [5797] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2
## [5811] >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [5825] 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 <NA> <NA> <NA> <NA>
## [5839] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [5853] <NA> >2 1–2 1–2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1
## [5867] ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [5881] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2
## [5895] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [5909] 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2
## [5923] 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2
## [5937] ≤1 ≤1 1–2 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2 >2
## [5951] >2 >2 1–2 1–2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [5965] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [5979] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 1–2 >2
## [5993] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 1–2 1–2
## [6007] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2
## [6021] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1
## [6035] ≤1 ≤1 ≤1 1–2 >2 >2 >2 <NA> >2 >2 >2 >2 >2 >2
## [6049] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 >2
## [6063] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6077] >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 >2 >2 >2 >2
## [6091] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6105] >2 >2 <NA> ≤1 ≤1 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2
## [6119] 1–2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 >2 1–2 ≤1 ≤1 ≤1 ≤1
## [6133] ≤1 <NA> ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 ≤1 ≤1 >2 >2 1–2
## [6147] 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> <NA> ≤1 ≤1 >2 >2
## [6161] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [6175] 1–2 1–2 ≤1 ≤1 <NA> 1–2 1–2 >2 >2 >2 >2 >2 >2 >2
## [6189] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [6203] 1–2 ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2
## [6217] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2
## [6231] >2 >2 >2 >2 >2 1–2 >2 >2 >2 >2 >2 >2 >2 >2
## [6245] 1–2 1–2 >2 >2 >2 1–2 <NA> 1–2 ≤1 1–2 >2 >2 >2 >2
## [6259] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6273] >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6287] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 <NA> 1–2 ≤1 ≤1
## [6301] ≤1 ≤1 ≤1 1–2 ≤1 1–2 >2 >2 >2 1–2 >2 >2 >2 >2
## [6315] >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 >2 >2
## [6329] >2 >2 >2 >2 >2 1–2 >2 1–2 >2 1–2 1–2 1–2 1–2 ≤1
## [6343] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 1–2
## [6357] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 1–2 1–2 ≤1
## [6371] <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6385] >2 >2 >2 >2 1–2 1–2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2
## [6399] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6413] >2 >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 1–2 >2 >2 >2 >2
## [6427] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6441] >2 >2 <NA> 1–2 1–2 1–2 >2 >2 >2 1–2 >2 >2 >2 >2
## [6455] >2 >2 >2 1–2 >2 >2 1–2 1–2 >2 1–2 1–2 ≤1 ≤1 ≤1
## [6469] ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 1–2 1–2 1–2 1–2 >2 1–2
## [6483] 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 1–2 ≤1 ≤1 ≤1 1–2 >2 >2
## [6497] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [6511] 1–2 1–2 1–2 1–2 <NA> ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2
## [6525] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2
## [6539] 1–2 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [6553] >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [6567] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 1–2
## [6581] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 1–2 >2 1–2 1–2
## [6595] 1–2 1–2 >2 1–2 >2 >2 >2 >2 >2 >2 1–2 ≤1 1–2 1–2
## [6609] 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2
## [6623] 1–2 >2 >2 1–2 >2 >2 1–2 >2 >2 >2 >2 1–2 >2 1–2
## [6637] 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6651] >2 >2 >2 >2 >2 1–2 1–2 1–2 <NA> ≤1 ≤1 1–2 >2 >2
## [6665] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [6679] 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2
## [6693] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 ≤1
## [6707] ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6721] >2 >2 >2 >2 >2 1–2 >2 1–2 1–2 1–2 <NA> ≤1 ≤1 1–2
## [6735] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6749] >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2
## [6763] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 1–2
## [6777] 1–2 1–2 ≤1 1–2 ≤1 1–2 >2 >2 >2 >2 ≤1 ≤1 ≤1 ≤1
## [6791] ≤1 ≤1 1–2 >2 >2 >2 1–2 >2 >2 >2 1–2 ≤1 <NA> ≤1
## [6805] ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6819] >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2
## [6833] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [6847] 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 1–2 1–2 >2
## [6861] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 1–2 ≤1
## [6875] <NA> ≤1 ≤1 ≤1 1–2 >2 >2 1–2 >2 1–2 >2 >2 >2 >2
## [6889] >2 >2 >2 >2 >2 1–2 1–2 1–2 >2 1–2 1–2 1–2 1–2 1–2
## [6903] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6917] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6931] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [6945] >2 >2 <NA> >2 1–2 >2 1–2 >2 >2 >2 >2 >2 >2 >2
## [6959] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1
## [6973] ≤1 ≤1 ≤1 ≤1 1–2 ≤1 1–2 1–2 ≤1 ≤1 1–2 >2 >2 >2
## [6987] >2 >2 ≤1 1–2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2
## [7001] 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 1–2 >2 >2 >2 1–2 1–2
## [7015] 1–2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7029] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7043] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7057] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7071] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7085] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7099] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> 1–2
## [7113] >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 1–2 1–2 >2 >2 >2 >2
## [7127] >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [7141] ≤1 ≤1 1–2 1–2 1–2 >2 >2 >2 >2 1–2 >2 >2 >2 >2
## [7155] >2 >2 >2 >2 >2 >2 >2 >2 <NA> 1–2 1–2 1–2 >2 >2
## [7169] 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [7183] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [7197] >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2
## [7211] 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [7225] >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 <NA> ≤1 ≤1 ≤1
## [7239] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [7253] 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2
## [7267] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [7281] 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2
## [7295] >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 <NA> ≤1
## [7309] ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 >2 >2 1–2 >2 >2 >2
## [7323] >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> <NA> ≤1 >2 >2
## [7337] >2 >2 1–2 >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2 1–2
## [7351] 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [7365] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2 1–2
## [7379] <NA> ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [7393] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 1–2
## [7407] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [7421] 1–2 1–2 >2 1–2 1–2 ≤1 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [7435] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 >2
## [7449] 1–2 1–2 <NA> 1–2 ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2 >2
## [7463] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [7477] 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2
## [7491] >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2
## [7505] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2
## [7519] 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2
## [7533] >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 <NA>
## [7547] <NA> <NA> <NA> ≤1 ≤1 1–2 ≤1 <NA> <NA> ≤1 ≤1 ≤1 ≤1 ≤1
## [7561] 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [7575] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [7589] >2 1–2 1–2 1–2 1–2 1–2 <NA> 1–2 1–2 >2 >2 >2 >2 >2
## [7603] >2 >2 >2 >2 >2 1–2 >2 1–2 >2 >2 >2 1–2 >2 1–2
## [7617] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 ≤1 ≤1 1–2 ≤1
## [7631] <NA> <NA> ≤1 ≤1 ≤1 >2 >2 1–2 ≤1 <NA> <NA> <NA> <NA> <NA>
## [7645] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [7659] <NA> <NA> <NA> <NA> <NA> <NA> ≤1 <NA> <NA> ≤1 ≤1 ≤1 1–2 1–2
## [7673] 1–2 ≤1 ≤1 ≤1 ≤1 1–2 1–2 ≤1 1–2 1–2 1–2 ≤1 <NA> <NA>
## [7687] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [7701] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 ≤1 ≤1 <NA> <NA> <NA> <NA> <NA>
## [7715] <NA> <NA> <NA> <NA> ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [7729] ≤1 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> <NA> ≤1 ≤1 ≤1
## [7743] 1–2 >2 1–2 1–2 ≤1 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 1–2
## [7757] 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 1–2 1–2
## [7771] 1–2 1–2 >2 1–2 1–2 1–2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1
## [7785] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 ≤1
## [7799] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 ≤1 1–2 <NA> ≤1
## [7813] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [7827] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 <NA>
## [7841] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [7855] 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 >2 >2
## [7869] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [7883] >2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2
## [7897] >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 <NA> ≤1 ≤1 ≤1
## [7911] >2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2 >2 >2 >2
## [7925] >2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2
## [7939] 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 1–2
## [7953] 1–2 1–2 1–2 1–2 ≤1 1–2 >2 >2 1–2 ≤1 ≤1 ≤1 1–2 ≤1
## [7967] ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 <NA> ≤1
## [7981] ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2
## [7995] 1–2 1–2 1–2 ≤1 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2
## [8009] >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 1–2 1–2 ≤1 ≤1
## [8023] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 1–2 1–2 1–2
## [8037] >2 1–2 1–2 1–2 1–2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1
## [8051] <NA> ≤1 ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 >2 1–2 >2 >2
## [8065] >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [8079] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [8093] >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [8107] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [8121] >2 >2 <NA> 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2
## [8135] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [8149] >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 ≤1 ≤1 >2 >2
## [8163] >2 ≤1 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2
## [8177] 1–2 >2 >2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2
## [8191] ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 1–2 >2 1–2 ≤1 1–2 1–2
## [8205] 1–2 ≤1 1–2 1–2 >2 >2 >2 >2 1–2 >2 1–2 >2 1–2 1–2
## [8219] 1–2 ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2
## [8233] >2 >2 >2 >2 >2 >2 >2 >2 >2 ≤1 ≤1 ≤1 ≤1 ≤1
## [8247] >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [8261] >2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 >2 >2 1–2 1–2
## [8275] 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [8289] 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2
## [8303] 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 >2 1–2 1–2 ≤1
## [8317] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 ≤1 1–2 1–2 1–2 1–2 1–2
## [8331] 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2
## [8345] >2 1–2 1–2 >2 1–2 1–2 1–2 >2 >2 >2 >2 >2 1–2 1–2
## [8359] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 1–2 1–2 >2
## [8373] >2 >2 >2 >2 >2 >2 >2 >2 1–2 ≤1 1–2 1–2 ≤1 ≤1
## [8387] ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [8401] >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [8415] >2 >2 >2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2
## [8429] >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2
## [8443] 1–2 >2 >2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [8457] 1–2 >2 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2 1–2 >2 >2 >2 >2
## [8471] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 <NA> ≤1
## [8485] ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 1–2 1–2 1–2 1–2
## [8499] >2 1–2 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [8513] ≤1 ≤1 ≤1 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 1–2 ≤1 ≤1
## [8527] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [8541] ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 ≤1 1–2 ≤1 ≤1 ≤1 ≤1
## [8555] <NA> ≤1 ≤1 ≤1 >2 >2 1–2 >2 1–2 1–2 1–2 1–2 1–2 1–2
## [8569] >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2 1–2
## [8583] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2
## [8597] >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 1–2 1–2 >2 >2 >2 >2
## [8611] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 >2
## [8625] 1–2 1–2 <NA> 1–2 1–2 ≤1 1–2 >2 1–2 1–2 1–2 1–2 >2 1–2
## [8639] 1–2 1–2 1–2 >2 >2 >2 >2 1–2 >2 1–2 ≤1 ≤1 ≤1 ≤1
## [8653] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 1–2 1–2 >2 >2
## [8667] >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 1–2
## [8681] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 1–2 1–2
## [8695] 1–2 1–2 1–2 ≤1 <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 1–2
## [8709] >2 >2 >2 1–2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [8723] ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2
## [8737] >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 1–2
## [8751] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2
## [8765] >2 1–2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 ≤1 1–2 >2 >2 >2
## [8779] ≤1 1–2 >2 1–2 1–2 1–2 1–2 >2 >2 >2 ≤1 ≤1 ≤1 ≤1
## [8793] ≤1 ≤1 <NA> <NA> <NA> <NA> ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [8807] ≤1 ≤1 ≤1 ≤1 >2 >2 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> <NA> <NA>
## [8821] <NA> <NA> <NA> ≤1 ≤1 ≤1 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2
## [8835] >2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 >2 >2
## [8849] >2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2
## [8863] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2
## [8877] >2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1
## [8891] ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2 >2 >2 >2
## [8905] >2 >2 >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 <NA> ≤1 ≤1 1–2
## [8919] >2 >2 >2 >2 >2 1–2 >2 >2 >2 1–2 >2 >2 >2 >2
## [8933] >2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2
## [8947] >2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 >2 1–2
## [8961] 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2 >2 >2 >2 1–2 1–2
## [8975] >2 1–2 1–2 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 <NA> ≤1
## [8989] ≤1 ≤1 ≤1 ≤1 1–2 >2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 >2
## [9003] >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 1–2 >2 >2
## [9017] >2 >2 1–2 1–2 >2 >2 1–2 >2 >2 >2 >2 >2 >2 1–2
## [9031] 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 >2 >2 >2
## [9045] >2 1–2 1–2 1–2 >2 >2 >2 >2 >2 >2 >2 >2 >2 1–2
## [9059] <NA> ≤1 ≤1 1–2 >2 >2 >2 >2 1–2 1–2 >2 >2 >2 >2
## [9073] >2 >2 >2 >2 >2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [9087] >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2 >2 >2 >2 >2
## [9101] >2 >2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 >2 >2 >2 1–2
## [9115] 1–2 >2 >2 1–2 >2 >2 >2 >2 >2 >2 >2 1–2 >2 >2
## [9129] 1–2 1–2 <NA> ≤1 ≤1 1–2 1–2 >2 >2 >2 1–2 1–2 1–2 1–2
## [9143] 1–2 >2 >2 >2 1–2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1
## [9157] ≤1 1–2 1–2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2
## [9171] >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 1–2
## [9185] 1–2 1–2 1–2 1–2 1–2 1–2 1–2 1–2 >2 >2 >2 1–2 1–2 1–2
## [9199] 1–2 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 >2 >2 >2 >2 >2 >2 >2
## [9213] >2 >2 >2 >2 >2 >2 >2 >2 1–2 1–2 1–2 ≤1 ≤1 ≤1
## [9227] ≤1 ≤1 ≤1 >2 >2 >2 >2 1–2 1–2 1–2 1–2 1–2 1–2 >2
## [9241] >2 >2 >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 >2
## [9255] >2 1–2 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 >2 >2 1–2 ≤1
## [9269] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 ≤1 1–2 1–2 1–2 ≤1 ≤1
## [9283] 1–2 1–2 ≤1 1–2 1–2 1–2 1–2 >2 1–2 ≤1 ≤1 1–2 1–2 1–2
## [9297] ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [9311] ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1 ≤1
## [9325] ≤1 ≤1 ≤1 1–2 1–2 1–2 1–2 ≤1 ≤1 1–2 1–2 1–2 1–2 >2
## [9339] >2 1–2 1–2 1–2 ≤1 ≤1 ≤1 ≤1 <NA> ≤1 1–2 >2 >2 >2
## [9353] >2 >2 >2 >2 >2 <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9367] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9381] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9395] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9409] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9423] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9437] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9451] <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## [9465] <NA> <NA> <NA> <NA> <NA> <NA> <NA>
## Levels: ≤1 1–2 >2
# 4. The three intervals readings are
# ≤1"1861" 1–2 "2485" >2 "3328" <NA> "1797"
# // Part 3 //
library(fivethirtyeight)
## Some larger datasets need to be installed separately, like senators and
## house_district_forecast. To install these, we recommend you install the
## fivethirtyeightdata package by running:
## install.packages('fivethirtyeightdata', repos =
## 'https://fivethirtyeightdata.github.io/drat/', type = 'source')
biopic_df <- fivethirtyeight::biopics
glimpse(biopic_df)
## Rows: 761
## Columns: 14
## $ title <chr> "10 Rillington Place", "12 Years a Slave", "127 Hou…
## $ site <chr> "tt0066730", "tt2024544", "tt1542344", "tt2833074",…
## $ country <chr> "UK", "US/UK", "US/UK", "Canada", "US", "US", "UK",…
## $ year_release <int> 1971, 2013, 2010, 2014, 1998, 2008, 2002, 2013, 199…
## $ box_office <dbl> NA, 5.67e+07, 1.83e+07, NA, 5.37e+05, 8.12e+07, 1.1…
## $ director <chr> "Richard Fleischer", "Steve McQueen", "Danny Boyle"…
## $ number_of_subjects <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 3, 3, 3, 1, 1, …
## $ subject <chr> "John Christie", "Solomon Northup", "Aron Ralston",…
## $ type_of_subject <chr> "Criminal", "Other", "Athlete", "Other", "Other", "…
## $ race_known <chr> "Unknown", "Known", "Unknown", "Known", "Unknown", …
## $ subject_race <chr> NA, "African American", NA, "White", NA, "Asian Ame…
## $ person_of_color <lgl> FALSE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, TRUE…
## $ subject_sex <chr> "Male", "Male", "Male", "Male", "Male", "Male", "Ma…
## $ lead_actor_actress <chr> "Richard Attenborough", "Chiwetel Ejiofor", "James …
# 1. Find biopic title with the largest box office sales
biopic_2010_topBO <- biopic_df %>%
filter(year_release == 2010, !is.na(box_office)) %>%
arrange(desc(box_office)) %>%
slice(1) %>%
select(title, box_office)
biopic_2010_topBO
## # A tibble: 1 × 2
## title box_office
## <chr> <dbl>
## 1 The King's Speech 139000000
# 1. Answer - The King's Speech $139,000,000
# 2. Restrict the dataframe to movies with most subjects.
library(dplyr)
max_subjects <- max(biopic_df$number_of_subjects, na.rm = TRUE)
biopic_max_subjects <- biopic_df %>%
filter(number_of_subjects == max_subjects) %>%
select(title, subject)
biopic_max_subjects
## # A tibble: 8 × 2
## title subject
## <chr> <chr>
## 1 Jersey Boys Bob Gaudio
## 2 Jersey Boys Frankie Valli
## 3 Jersey Boys Nick Massi
## 4 Jersey Boys Tommy DeVito
## 5 The Bang Bang Club Greg Marinovich
## 6 The Bang Bang Club Jọo Silva
## 7 The Bang Bang Club Ken Oosterbroek
## 8 The Bang Bang Club Kevin Carter
# 3. Find the number of movies about a person of color
library(dplyr)
num_poc_movies <- biopic_df %>%
filter(person_of_color == TRUE) %>%
distinct(title) %>%
nrow()
num_poc_movies
## [1] 98
# 3. Answer 98 person of color movies
# 4. Out of the movies with one subj, which one has the highest median box office earnings?
library(dplyr)
median_boxoffice <- biopic_df %>%
filter(number_of_subjects == 1,
type_of_subject %in% c("Criminal", "Athlete"),
!is.na(box_office)) %>%
group_by(type_of_subject) %>%
summarise(median_box = median(box_office, na.rm = TRUE))
median_boxoffice
## # A tibble: 2 × 2
## type_of_subject median_box
## <chr> <dbl>
## 1 Athlete 17500000
## 2 Criminal 3020000
# 4. Answer - Athlete has a median box office earnings of $17.5M, while "Criminal" only has $3,020,000 median box office earnings.