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b/analysis/month-performance-1/month-performance-1.R index 4627373..6f12467 100644 --- a/analysis/month-performance-1/month-performance-1.R +++ b/analysis/month-performance-1/month-performance-1.R @@ -17,6 +17,9 @@ requireNamespace("dplyr") # ---- declare-globals --------------------------------------------------------- options(show.signif.stars=F) #Turn off the annotations on p-values config <- config::get() +levels_metric <- c( + "stroke", "antithromb", "anticoag", "statin", "smoking", "cumulative" +) palette_dark <- list( # http://colrd.com/image-dna/50489/ # "#141e1f", # black @@ -62,20 +65,37 @@ ds_wide <- readr::read_csv(config$path_month_raw, col_types = col_types) pattern <- "^(\\w+)_(numerator|denominator)$" ds <- ds_wide %>% + dplyr::mutate( + cumulative_numerator = + dplyr::coalesce(stroke_numerator , 0L) + + dplyr::coalesce(antithromb_numerator , 0L) + + dplyr::coalesce(anticoag_numerator , 0L) + + dplyr::coalesce(statin_numerator , 0L) + + dplyr::coalesce(smoking_numerator , 0L), + cumulative_denominator = + dplyr::coalesce(stroke_denominator , 0L) + + dplyr::coalesce(antithromb_denominator , 0L) + + dplyr::coalesce(anticoag_denominator , 0L) + + dplyr::coalesce(statin_denominator , 0L) + + dplyr::coalesce(smoking_denominator , 0L), + ) %>% tidyr::pivot_longer( cols = tidyselect::matches(pattern), names_to = c("metric", ".value"), names_pattern = pattern ) %>% - dplyr::filter(metric != "cumulative") %>% + # dplyr::filter(metric != "cumulative") %>% dplyr::mutate( post = dplyr::recode(phase, "pre" = 0L, "post" = 1L), phase = factor(phase, levels = c("pre", "post")), + metric = factor(metric, levels = levels_metric), proportion = numerator / denominator, label = dplyr::if_else( denominator == 0L, - sprintf(" --%% (%2i of %2i)" , numerator, denominator), - sprintf("%4.0f%% (%2i of %2i)", proportion * 100, numerator, denominator) + sprintf(" --%% of %2i" , denominator), + sprintf("%4.0f%% of %2i", proportion * 100, denominator) + # sprintf(" --%% (%2i of %2i)" , numerator, denominator), + # sprintf("%4.0f%% (%2i of %2i)", proportion * 100, numerator, denominator) ), ) @@ -116,8 +136,8 @@ g1 <- # dplyr::filter(metric == "statin") %>% # dplyr::filter(metric == "smoking") %>% ggplot(aes(x=month, y=proportion, size=denominator, group=metric, label=label, color =phase)) + - geom_text(aes(y = -Inf, size=5), angle = 90, hjust = 0) + - geom_vline(xintercept = config$intervention_start, size = 4, color = "gray70", alpha = .6) + + geom_text(aes(y = -Inf, size=10), alpha = .6, angle = 90, hjust = 0, family = "mono") + + geom_vline(xintercept = config$intervention_start, size = 4, color = "gray80", alpha = .4) + annotate("text", label = "intervention starts", x = config$intervention_start, y = .5, hjust = .5, angle = 90, alpha = .4) + geom_line(data=ds[!is.na(ds$proportion), ], size=.5, color = "gray70", inherit.aes = TRUE) + geom_point(aes(fill = phase), shape=21, alpha = .5, na.rm = T) + @@ -135,13 +155,14 @@ g1 # ---- models ------------------------------------------------------------------ -m1 <- lm(proportion ~ 1 + post, data = ds)#, subset = (metric == "statin")) +m1 <- lm(proportion ~ 1 + post, data = ds, subset = (metric != "cumulative")) summary(m1) m2 <- glm( numerator / denominator ~ 1 + post, family = quasipoisson, # subset = (metric == "statin") + subset = (metric != "cumulative"), data = ds, ) summary(m2) diff --git a/analysis/month-performance-1/month-performance-1.html b/analysis/month-performance-1/month-performance-1.html index 50cafd0..f0c252e 100644 --- a/analysis/month-performance-1/month-performance-1.html +++ b/analysis/month-performance-1/month-performance-1.html @@ -1548,7 +1548,7 @@

1.1 Notes

    -
  1. The current report covers 30 month, with 2 unique values for month.
  2. +
  3. The current report covers 36 month, with 2 unique values for month.
@@ -1565,7 +1565,7 @@

2.1 Marginals

2.2 Scatterplots

-

+

@@ -1574,7 +1574,8 @@

3 Models

3.1 Model Exploration


 Call:
-lm(formula = proportion ~ 1 + post, data = ds)
+lm(formula = proportion ~ 1 + post, data = ds, subset = (metric != 
+    "cumulative"))
 
 Residuals:
      Min       1Q   Median       3Q      Max 
@@ -1592,7 +1593,7 @@ 

3.1 Model Exploratio

 Call:
 glm(formula = numerator/denominator ~ 1 + post, family = quasipoisson, 
-    data = ds)
+    data = ds, subset = (metric != "cumulative"))
 
 Deviance Residuals: 
      Min        1Q    Median        3Q       Max  
@@ -1727,7 +1728,7 @@ 

4 Session Information< [3] /usr/lib/R/site-library [4] /usr/lib/R/library

-

Report rendered by wibeasley at 2020-02-29, 11:45 -0600 in 5 seconds.

+

Report rendered by wibeasley at 2020-02-29, 12:07 -0600 in 7 seconds.

diff --git a/analysis/month-performance-1/month-performance-1.md b/analysis/month-performance-1/month-performance-1.md index 6a61130..d0f1611 100644 --- a/analysis/month-performance-1/month-performance-1.md +++ b/analysis/month-performance-1/month-performance-1.md @@ -43,7 +43,7 @@ Summary {.tabset .tabset-fade .tabset-pills} Notes --------------------------------------------------------------------------- -1. The current report covers 30 month, with 2 unique values for `month`. +1. The current report covers 36 month, with 2 unique values for `month`. Unanswered Questions @@ -80,7 +80,8 @@ Model Exploration ``` Call: -lm(formula = proportion ~ 1 + post, data = ds) +lm(formula = proportion ~ 1 + post, data = ds, subset = (metric != + "cumulative")) Residuals: Min 1Q Median 3Q Max @@ -101,7 +102,7 @@ F-statistic: 0.2565 on 1 and 23 DF, p-value: 0.6173 Call: glm(formula = numerator/denominator ~ 1 + post, family = quasipoisson, - data = ds) + data = ds, subset = (metric != "cumulative")) Deviance Residuals: Min 1Q Median 3Q Max @@ -226,4 +227,4 @@ For the sake of documentation and reproducibility, the current report was render -Report rendered by wibeasley at 2020-02-29, 11:45 -0600 in 5 seconds. +Report rendered by wibeasley at 2020-02-29, 12:07 -0600 in 7 seconds.