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QUESTION
I'm working with some data where I have hourly observations for patients. In some cases, some of the features for a specific patient are completely empty. I'm trying to find a way to impute the data by using constant average that's based off a population subset of 50 other patients who have the same gender and a similar age. I've given a simplified look at the data below:
HR O2Sat Temp Platelets Age Gender PatientID 80 98 36.5 NaN 52 1 A0 82 96 37.0 NaN 52 1 A0 82 100 36.3 160 53 1 A1 90 93 36.6 165 53 1 A1 83 95 35.9 140 23 0 A2 79 98 36.2 155 23 0 A2 88 92 36.6 163 60 0 A3 90 91 36.3 165 60 0 A3 81 95 37.1 NaN 20 0 A4 81 92 36.9 NaN 20 0 A4I've reordered the dataframe by age and have this code so far
data = data.sort_values(['Age']).groupby(['PatientID','Gender']).apply(lambda x: x.fillna(x.mean()))
But I know that that's going to use all of the available data to find the mean but I'm not sure how to limit it to 50 patients of a similar age.
...ANSWER
Answered 2021-Jun-15 at 13:43I think I get what you want now. You want to fill the gaps with matching records for the right age and category. I created a simple example to debug.
QUESTION
I'm trying to produce a scatter plot with ggplot for a shiny web app, to show the relationship between two variables(age and platelets, both numeric). Moreover, I want to add two additional dimensions to show possible differences in the linear relationship, plotted with color and shape (diabetes and anemia, both factor variables with possible values 0 or 1).
...ANSWER
Answered 2021-May-30 at 12:59ggplot2's default behavior is to have separate guides for each variable like you want. See the example below with code that is equivalent to what you have written.
QUESTION
ANSWER
Answered 2021-Apr-25 at 10:33Check out to_dict(orient = 'records')
https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_dict.html
QUESTION
Good afternoon !
Assume we have the following dataset :
...ANSWER
Answered 2021-Mar-18 at 14:38Try cbind
together with split.default
QUESTION
I have a project which was written (iOS part) with Swift 4. I update it to 5 but now I have this warnings. I've tried to fix it as it's suggest but I get different error each time. Could you help me with it?
Code
...ANSWER
Answered 2021-Feb-15 at 13:38When coding in Swift most of the time the errors are not very helpful. The first one is pretty self explanatory, except that the suggested method might throw an error. You can remove the throw keyword and ignore the error with try? if you would like to but it is better to catch and handle the errors:
QUESTION
I have tried reproducing the method described in this post (Trying to create a new column using multiple if else statements in R)
I would like to classify the severity of a patients blood work. My intention is to give a certain score (i.e. 0, 1, 2, 3) to an already existing value for each patient's blood work value. After that, I want to save these new values into a new column. The cut off values are:
...ANSWER
Answered 2021-Feb-01 at 17:04platelets_v1 %>%
mutate(
platelets = suppressWarnings(as.numeric(platelets)),
bin = 5L - cut(platelets,
c(0, 20000, 50000, 100000, 150000, Inf), labels = FALSE)
) %>%
slice(c(1:5, n() - 0:4))
# # A tibble: 10 x 3
# ID platelets bin
#
# 1 13055908 469.000 4
# 2 13059026 NA NA
# 3 13154920 NA NA
# 4 13201107 243.000 4
# 5 13207119 NA NA
# 6 13040632 NA NA
# 7 13119819 NA NA
# 8 13060586 NA NA
# 9 13072516 171000 0
# 10 12993036 NA NA
QUESTION
newbie here! After a long search I still could not find a satisfying solution to my problem. I have a dataset of heart failure rates (https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records) and I would like to display a series of geom plot where the "Sruvived" and "Dead" are counted per category (i.e. sex, smoking and so on).
I think i have done a decent job at preparing the plots, and they look right to me. The problem is, it is difficult to see the how the ratio between surviving and dying patient with different characteristics is.
I have two but both of them elude me:
- Put a count on top of every bar so that the ratio becomes obvious
- Directly show the ratio on every characteristic.
Here is the code I wrote.
...ANSWER
Answered 2021-Jan-24 at 22:02What about something like this. To make it work, I aggregated the data first:
QUESTION
I want my application to continue accepting image from the gallery if I chose Upload Image from the dialog box, but the problem is that the function will continue to finish (the log for count is printed even if I didn't pressed any button, and the conditional statement will set cont = false). The decision variable is a global string variable.
...ANSWER
Answered 2020-Dec-14 at 07:54you still have below line in your code
QUESTION
My dataset looks like this:
...ANSWER
Answered 2020-Nov-24 at 04:41It looks like you're looking for pivot
.
I will generate some dummy data for a quick example:
QUESTION
I have an mvc and I need to display the values from the model, in the view, once the user has filled in some form parameters. When I put a breakpoint in the code, the model contains the correct values from the form, however when I try to display it, it doesn't work. Here is my form & at the top, I have a test title where I am trying to display one of the values I need to be displayed in the view.
...ANSWER
Answered 2020-Aug-09 at 06:18Looks like you need to pass the model back into the view
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