Examp
#> 9 8 61 !NA !NA 8 61
#> 10 NA 69 NA !NA -18.5 69
#> # ... with 143 more rows#> # A tibble: 153 x 12
+
airquality %>% cast_shadow_shift(
dplyr::contains(
"o"))
#> # A tibble: 153 x 12
#> Ozone Solar.R Month Ozone_NA Solar.R_NA Month_NA Ozone_shift Solar.R_shift
#> <int> <int> <int> <fct> <fct> <fct> <dbl> <dbl>
#> 1 41 190 5 !NA !NA !NA 41 190
diff --git a/docs/reference/cast_shadow_shift_label.html b/docs/reference/cast_shadow_shift_label.html
index 9b463737..9207a2e0 100644
--- a/docs/reference/cast_shadow_shift_label.html
+++ b/docs/reference/cast_shadow_shift_label.html
@@ -61,7 +61,7 @@
naniar
- 0.3.0
+ 0.3.1
Value
Examples
# select variables starting with a particular string.
library(dplyr)
#>
-#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
+#> Attaching package: ‘dplyr’
#> The following object is masked from ‘package:testthat’:
+#>
+#> matches
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#>
The following objects are masked from ‘package:base’:
#>
@@ -470,7 +472,7 @@
Examp
#> 152 18.00000 131.00000 8.0 76 9 29
#> 153 20.00000 223.00000 11.5 68 9 30
#> Ozone Solar.R Wind Temp Month Day
+
.vars = vars(
Ozone))
#> Ozone Solar.R Wind Temp Month Day
#> 1 41.00000 190 7.4 67 5 1
#> 2 36.00000 118 8.0 72 5 2
#> 3 12.00000 149 12.6 74 5 3
@@ -628,7 +630,7 @@
Examp
library(ggplot2)
airquality %>%
bind_shadow() %>%
- impute_below_at(vars(Ozone, Solar.R)) %>%
+ impute_below_at(vars(Ozone, Solar.R)) %>%
add_label_shadow() %>%
ggplot(aes(x = Ozone,
y = Solar.R,
diff --git a/docs/reference/impute_below_if.html b/docs/reference/impute_below_if.html
index 36693409..ca079626 100644
--- a/docs/reference/impute_below_if.html
+++ b/docs/reference/impute_below_if.html
@@ -63,7 +63,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> [151] "Not Missing" "Not Missing" "Not Missing"#> Ozone Solar.R Wind Temp Month Day is_missing
+
airquality %>% mutate(
is_missing = label_missings(
airquality))
#> Ozone Solar.R Wind Temp Month Day is_missing
#> 1 41 190 7.4 67 5 1 Not Missing
#> 2 36 118 8.0 72 5 2 Not Missing
#> 3 12 149 12.6 74 5 3 Not Missing
diff --git a/docs/reference/label_shadow.html b/docs/reference/label_shadow.html
index a2a01eb8..258ee41f 100644
--- a/docs/reference/label_shadow.html
+++ b/docs/reference/label_shadow.html
@@ -61,7 +61,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
# works with group_by from dplyr
library(dplyr)
airquality %>%
- group_by(Month) %>%
+ group_by(Month) %>%
miss_case_summary()#> # A tibble: 153 x 5
#> Month case n_miss pct_miss n_miss_cumsum
#> <int> <int> <int> <dbl> <int>
diff --git a/docs/reference/miss_case_table.html b/docs/reference/miss_case_table.html
index 16babb59..1da1203e 100644
--- a/docs/reference/miss_case_table.html
+++ b/docs/reference/miss_case_table.html
@@ -62,7 +62,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> 2 1 40 26.1
#> 3 2 2 1.31#> # A tibble: 11 x 4
#> Month n_miss_in_case n_cases pct_miss
#> <int> <int> <int> <dbl>
diff --git a/docs/reference/miss_prop_summary.html b/docs/reference/miss_prop_summary.html
index 7b262cbb..310daaae 100644
--- a/docs/reference/miss_prop_summary.html
+++ b/docs/reference/miss_prop_summary.html
@@ -64,7 +64,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> df var case
#> <dbl> <dbl> <dbl>
#> 1 0.0479 0.333 0.275#> # A tibble: 5 x 4
+
airquality %>% group_by(
Month)
%>% miss_prop_summary()
#> # A tibble: 5 x 4
#> Month df var case
#> <int> <dbl> <dbl> <dbl>
#> 1 5 0.0581 0.4 0.226
diff --git a/docs/reference/miss_scan_count.html b/docs/reference/miss_scan_count.html
index c9123453..98e95e05 100644
--- a/docs/reference/miss_scan_count.html
+++ b/docs/reference/miss_scan_count.html
@@ -66,7 +66,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#>
#> [1] 0.04793028
s_miss_group$miss_case_table
#> [[1]]
#> # A tibble: 11 x 4
#> Month n_miss_in_case n_cases pct_miss
diff --git a/docs/reference/miss_var_run.html b/docs/reference/miss_var_run.html
index e9711882..98ea0543 100644
--- a/docs/reference/miss_var_run.html
+++ b/docs/reference/miss_var_run.html
@@ -64,7 +64,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
# find the number of runs missing/complete for each month
pedestrian %>%
- group_by(month) %>%
+ group_by(month) %>%
miss_var_run(hourly_counts)#> # A tibble: 51 x 3
#> month run_length is_na
#> <ord> <int> <chr>
@@ -185,8 +185,8 @@
Examp
# explore the number of missings in a given run
miss_var_run(pedestrian, hourly_counts) %>%
- filter(is_na == "missing") %>%
- count(run_length) %>%
+ filter(is_na == "missing") %>%
+ count(run_length) %>%
ggplot(aes(x = run_length,
y = n)) +
geom_col()
#> # A tibble: 51 x 3
#> month run_length is_na
#> <ord> <int> <chr>
diff --git a/docs/reference/miss_var_span.html b/docs/reference/miss_var_span.html
index 21a3e4dd..72a2f668 100644
--- a/docs/reference/miss_var_span.html
+++ b/docs/reference/miss_var_span.html
@@ -65,7 +65,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> # ... with 215 more rows#> # A tibble: 230 x 6
#> month span_counter n_miss n_complete prop_miss prop_complete
diff --git a/docs/reference/miss_var_summary.html b/docs/reference/miss_var_summary.html
index e5b731e4..9f1de32a 100644
--- a/docs/reference/miss_var_summary.html
+++ b/docs/reference/miss_var_summary.html
@@ -63,7 +63,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
# works with group_by from dplyr
library(dplyr)
airquality %>%
- group_by(Month) %>%
+ group_by(Month) %>%
miss_var_summary()#> # A tibble: 25 x 5
#> Month variable n_miss pct_miss n_miss_cumsum
#> <int> <chr> <int> <dbl> <int>
diff --git a/docs/reference/miss_var_table.html b/docs/reference/miss_var_table.html
index 333d9a44..62e678ad 100644
--- a/docs/reference/miss_var_table.html
+++ b/docs/reference/miss_var_table.html
@@ -63,7 +63,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> 3 37 1 16.7#> # A tibble: 12 x 4
#> Month n_miss_in_var n_vars pct_miss
#> <int> <int> <int> <dbl>
diff --git a/docs/reference/miss_var_which.html b/docs/reference/miss_var_which.html
index d008ebdb..40576474 100644
--- a/docs/reference/miss_var_which.html
+++ b/docs/reference/miss_var_which.html
@@ -64,7 +64,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> 152 18.00000 131.0000 8.0 76 9 29
#> 153 20.00000 223.0000 11.5 68 9 30#> Ozone Solar.R Wind Temp Month Day
+
.vars = vars(
Ozone))
#> Ozone Solar.R Wind Temp Month Day
#> 1 41.00000 190 7.4 67 5 1
#> 2 36.00000 118 8.0 72 5 2
#> 3 12.00000 149 12.6 74 5 3
diff --git a/docs/reference/shadow_shift.html b/docs/reference/shadow_shift.html
index 677f566a..9b1d536f 100644
--- a/docs/reference/shadow_shift.html
+++ b/docs/reference/shadow_shift.html
@@ -65,7 +65,7 @@
naniar
- 0.3.0
+ 0.3.1
Examp
#> [141] 13.00000 24.00000 16.00000 13.00000 23.00000 36.00000 7.00000
#> [148] 14.00000 30.00000 -14.83089 14.00000 18.00000 20.00000#> Ozone Solar.R Wind Temp Month Day Ozone_shift
+
mutate(
Ozone_shift = shadow_shift(
Ozone))
#> Ozone Solar.R Wind Temp Month Day Ozone_shift
#> 1 41 190 7.4 67 5 1 41.00000
#> 2 36 118 8.0 72 5 2 36.00000
#> 3 12 149 12.6 74 5 3 12.00000
diff --git a/docs/reference/shadow_shift.numeric.html b/docs/reference/shadow_shift.numeric.html
index edd12d06..14403c42 100644
--- a/docs/reference/shadow_shift.numeric.html
+++ b/docs/reference/shadow_shift.numeric.html
@@ -61,7 +61,7 @@
naniar
- 0.3.0
+ 0.3.1
