I have this code tapply(index_articles_migpunts$index_articles_ponderats2_migpunts, index_articles_migpunts$Tramspoblacio, quantile, probs=seq(.1,.9, by =.1)) which gives this output: $`1 – 999` 10% 20% 30% 40% 50% 60% 70% 80% 0.0000000 0.8333333 5.0000000 5.0000000 5.8333333 7.8666667 10.0000000 13.3500000 90% 17.1166667 $`1000 – 4999` 10% 20% 30% 40% 50% 60% 70% 80% 90% 5.833333 10.866667 13.300000 16.333333 17.479167 19.200000 20.687500 23.091667… Read More Transform quantiles output into a table

I have this dataset: structure(list(NUMERO = structure(c(10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30), format.stata = "%12.0g"), ingressosmensuals_memb = c(1130, NA, 2700, 1480, 700, 1950, NA, NA, 1907, 451, NA, 1442, NA, 1150, 1200, NA, NA, 1100, 650, NA, NA), ingressosmensuals_uc =… Read More I only get 1s when I calculate quantiles

# The outlier quantity that should be removed filter(HF2, serum_creatinine >= quantile(serum_creatinine,probs=.75) + ((quantile(serum_creatinine,probs=.75)-quantile(serum_creatinine,probs=.25))*1.5) | creatinine_phosphokinase >= quantile(creatinine_phosphokinase,probs=.75) + ((quantile(creatinine_phosphokinase,probs=.75)-quantile(creatinine_phosphokinase,probs=.25))*1.5)) %>% nrow [1] 56 # The code being used to remove them filter(HF2, serum_creatinine < quantile(serum_creatinine,probs=.75) + ((quantile(serum_creatinine,probs=.75)-quantile(serum_creatinine,probs=.25))*1.5) | creatinine_phosphokinase < quantile(creatinine_phosphokinase,probs=.75) + ((quantile(creatinine_phosphokinase,probs=.75)-quantile(creatinine_phosphokinase,probs=.25))*1.5)) %>% nrow [1] 297 Why am I not able to filter… Read More Why am I not able to remove outliers?

I was trying to categorize my values into 10 bins and I met with this error. How can I avoid this error and bin them smoothly? Attached are samples of the data and code. Data JPM 2008-01-02 NaN 2008-01-03 NaN 2008-01-04 NaN 2008-01-07 NaN 2008-01-08 NaN … … 2009-12-24 -0.054014 2009-12-28 0.002679 2009-12-29 -0.030015 2009-12-30… Read More Pandas qcut ValueError: Input array must be 1 dimensional

I am trying to group a continuous value data into tertile. I am using the function quantile to do this. following is my code dd$wbc_tert = with(dd, cut(wbc, vTert, include.lowest = T, labels = c("Low", "Medium", "High"))) Isn’t it supposed to give equal count of values in each group? I am getting different count in… Read More Why do quantile function in R gives unequal count of values in each group

I’d like to know how is possible to make a qqplot with ggplot2 that compares two distributions and not a distribution to a theoretical distribution. I want something like this; qqplot(iris$Petal.Length, iris$Petal.Width) that compares the quartiles of Petal.Length and Petal.Width in iris dataset, but using ggplot2. >Solution : One easy way to reproduce the plot… Read More How to use ggplot to make a qqplot to compare the distribution of two variables?