dosage | dosage is a comic strip downloader and archiver | Download Utils library
kandi X-RAY | dosage Summary
kandi X-RAY | dosage Summary
dosage is a comic strip downloader and archiver
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Top functions reviewed by kandi - BETA
- Start HTML output
- Wait for all tasks to finish
- Return the relative path to the given path
- Construct a URL from a filename
- Add a link
- Build a tag template
- Convert a name to a regular expression
- Extract query parameters from a URL
- Create an XML tag
- Get comics
- Add the downloaded comic
- Create symlinks
- Print an internal error
- Get all strips from the comic
- Returns a list of urls
- Fetch text content for given text
- Create a cbz file from a directory
- Emit a record
- Check if the user is running
- Write a comic
- Print comic comics
- Return a list of URLs matching the given data
- Check if the given file is available on the terminal
- Start the feed
- Main thread
- Get results from the duck web browser
- Creates a case insensitive regular expression
dosage Key Features
dosage Examples and Code Snippets
Community Discussions
Trending Discussions on dosage
QUESTION
At the top of this site are 17 ID tags:
...ANSWER
Answered 2021-Jun-10 at 17:02I'm not 100% sure what you need, but based on the comments I think this is what you are looking for. You can easily add the output to a list or a dictionary.
QUESTION
How best would one retaining the variable labels after say you make modifications in the factors. I noticed that the variable labels are dropped when you apply slight modifications in group of variables. Below is an example of the code where the variable labels are dropped:
...ANSWER
Answered 2021-Jun-02 at 11:24In the book Advanced R it is mentioned that attributes should generally be thought of as ephemeral. This means that most operations will not preserve attributes you set. This includes the variable labels you set in the example.
If you really need to preserve the labels as attributes, you can do so using S3 classes. However, this solution is very involved, because you need to write generic functions for every function you apply to your labelled objects.
In the case of the provided example, this would look something like the following. First we define a class constructor and apply the class to the columns in the dataset.
QUESTION
I have produced this plot, which basically depicts the predicted 1- and 3-yrs risk of progression obtained from a Cox regression and for a certain tumor as function of the cumulative dosage applied.
Problem: I have used ggarrange() to merge the two plots, but unfortunately the upper plot is squeezed more together due to applying theme(legend.position = "bottom") for this plot, but show.legend = F for the lower. Consequently, the y-axes have different heights.
Question: Is there a way to manually adjust height for the arranged plots to obtain identical heights for the y-axes while keeping the legend for the upper plot? I am willing to use other plot-merging approaches if that solves it.
My script:
...ANSWER
Answered 2021-May-01 at 18:39Update: Demand of OP for patchwork solution.
Name your plots p1 and p2:
QUESTION
The dataset which I have has one issue that if I pick data of one patient which is associated with its P_ID, I get all the details of how many drugs he took, how many tests, and what disease he had. But the details provided of one part leaves another part empty. Because of this whenever I try to count drugs taken related to patient id associated with disease id it gives me 1. Below is the sample data:
...ANSWER
Answered 2021-Apr-17 at 13:36QUESTION
Below is my view, url and model. I have stored some values in my database, and I make patientNRIC as the primary key, now I wanted to access the respective patient details through their patientNRIC, however, I could not do that, it always show me the error of mismatch. plss helllpp meeeee. Thanks
#view.py
...ANSWER
Answered 2021-Apr-12 at 09:21In patient_detail view I think you should get objects like this
patientdetails = PatientDetail.objects.get(patientNRIC = patientNRIC)
QUESTION
structure(list(drug = c("Chlorambucil", "Fludarabine", "FludarabineMafosfamide",
"NDI031301", "CMPB", "Tofacitinib", "Peficitinib", "FludarabineMafosfamide",
"PDB", "Filgotinib", "Dexamethasone", "CMPA", "Lenalidomide",
"Dexamethasone", "Gandotinib", "NDI031301", "Filgotinib", "PDB",
"CMPB", "Ruxolitinib", "CC122", "Atovaquone", "CC122", "SAR20347",
"Momelotinib", "Momelotinib", "Tofacitinib", "Fludarabine", "Fludarabine",
"Cerdulatinib", "Lenalidomide", "Atovaquone", "Chlorambucil",
"CMPA", "FludarabineMafosfamide", "FludarabineMafosfamide", "Fludarabine",
"Atovaquone", "Momelotinib", "PDB", "Filgotinib", "Chlorambucil",
"Dexamethasone", "Tofacitinib", "SAR20347", "CMPB", "Momelotinib",
"Fludarabine", "Cerdulatinib", "Peficitinib", "Atovaquone", "CC122",
"CMPA", "NDI031301", "PDB", "CMPA", "Lenalidomide", "SAR20347",
"Tofacitinib", "Gandotinib", "Lenalidomide", "Peficitinib", "CMPB",
"CC122", "Dexamethasone", "FludarabineMafosfamide", "Ruxolitinib",
"CMPB", "Peficitinib", "Tofacitinib", "FludarabineMafosfamide",
"Filgotinib", "Dexamethasone", "CMPA", "Dexamethasone", "Gandotinib",
"NDI031301", "Filgotinib", "SAR20347", "CMPB", "Ruxolitinib",
"Peficitinib", "Atovaquone", "CC122", "SAR20347", "Momelotinib",
"Momelotinib", "Tofacitinib", "Fludarabine", "Fludarabine", "Cerdulatinib",
"Atovaquone", "Chlorambucil", "CMPA", "NDI031301"), dose = c(1,
1, 10, 1, 0.1, 1, 1, 1, 100, 1, 10, 1, 10, 100, 1, 10, 10, 10,
1, 1, 0.1, 3, 1, 1, 1, 0.1, 10, 1, 10, 1, 1, 30, 30, 0.1, 0.01,
0.1, 0.01, 0.3, 0.001, 1, 0.01, 0.3, 0.1, 0.01, 0.1, 0.001, 0.01,
0.1, 0.01, 0.1, 0.03, 0.01, 0.01, 0.01, 0.1, 0.001, 0.01, 0.01,
0.1, 0.01, 0.1, 0.01, 0.01, 0.001, 1, 10, 10, 0.1, 1, 1, 1, 1,
10, 1, 100, 1, 10, 10, 10, 1, 1, 10, 3, 1, 1, 1, 0.1, 10, 10,
1, 1, 30, 30, 0.1, 1), drug.dose = c("Chlorambucil_1uM", "Fludarabine_1uM",
"FludarabineMafosfamide_10ug/mlplus1ug/ml", "NDI031301_1uM",
"CMPB_0.1uM", "Tofacitinib_1uM", "Peficitinib_1uM", "FludarabineMafosfamide_1ug/mlplus1ug/ml",
"PDB_100ng/ml", "Filgotinib_1uM", "Dexamethasone_10uM", "CMPA_1uM",
"Lenalidomide_10uM", "Dexamethasone_100uM", "Gandotinib_1uM",
"NDI031301_10uM", "Filgotinib_10uM", "PDB_10ng/ml", "CMPB_1uM",
"Ruxolitinib_1uM", "CC122_0.1uM", "Atovaquone_3uM", "CC122_1uM",
"SAR20347_1uM", "Momelotinib_1uM", "Momelotinib_0.1uM", "Tofacitinib_10uM",
"Fludarabine_1ug/ml", "Fludarabine_10ug/ml", "Cerdulatinib_1uM",
"Lenalidomide_1uM", "Atovaquone_30uM", "Chlorambucil_30uM", "CMPA_0.1uM",
"FludarabineMafosfamide_0.01ug/mlplus1ug/ml", "FludarabineMafosfamide_0.1ug/mlplus1ug/ml",
"Fludarabine_0.01ug/ml", "Atovaquone_0.3uM", "Momelotinib_0.001uM",
"PDB_1ng/ml", "Filgotinib_0.01uM", "Chlorambucil_0.3uM", "Dexamethasone_0.1uM",
"Tofacitinib_0.01uM", "SAR20347_0.1uM", "CMPB_0.001uM", "Momelotinib_0.01uM",
"Fludarabine_0.1ug/ml", "Cerdulatinib_0.01uM", "Peficitinib_0.1uM",
"Atovaquone_0.03uM", "CC122_0.01uM", "CMPA_0.01uM", "NDI031301_0.01uM",
"PDB_0.1ng/ml", "CMPA_0.001uM", "Lenalidomide_0.01uM", "SAR20347_0.01uM",
"Tofacitinib_0.1uM", "Gandotinib_0.01uM", "Lenalidomide_0.1uM",
"Peficitinib_0.01uM", "CMPB_0.01uM", "CC122_0.001uM", "Dexamethasone_1uM",
"FludarabineMafosfamide_10ug/mlplus1ug/ml", "Ruxolitinib_10uM",
"CMPB_0.1uM", "Peficitinib_1uM", "Tofacitinib_1uM", "FludarabineMafosfamide_1ug/mlplus1ug/ml",
"Filgotinib_1uM", "Dexamethasone_10uM", "CMPA_1uM", "Dexamethasone_100uM",
"Gandotinib_1uM", "NDI031301_10uM", "Filgotinib_10uM", "SAR20347_10uM",
"CMPB_1uM", "Ruxolitinib_1uM", "Peficitinib_10uM", "Atovaquone_3uM",
"CC122_1uM", "SAR20347_1uM", "Momelotinib_1uM", "Momelotinib_0.1uM",
"Tofacitinib_10uM", "Fludarabine_10ug/ml", "Fludarabine_1ug/ml",
"Cerdulatinib_1uM", "Atovaquone_30uM", "Chlorambucil_30uM", "CMPA_0.1uM",
"NDI031301_1uM"), combo = c("none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none", "none", "none", "none", "none", "none", "none",
"none", "none"), cluster = c(3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L), dosage = c("1uM", "1uM", "10ug/mlplus1ug/ml",
"1uM", "0.1uM", "1uM", "1uM", "1ug/mlplus1ug/ml", "100ng/ml",
"1uM", "10uM", "1uM", "10uM", "100uM", "1uM", "10uM", "10uM",
"10ng/ml", "1uM", "1uM", "0.1uM", "3uM", "1uM", "1uM", "1uM",
"0.1uM", "10uM", "1ug/ml", "10ug/ml", "1uM", "1uM", "30uM", "30uM",
"0.1uM", "0.01ug/mlplus1ug/ml", "0.1ug/mlplus1ug/ml", "0.01ug/ml",
"0.3uM", "0.001uM", "1ng/ml", "0.01uM", "0.3uM", "0.1uM", "0.01uM",
"0.1uM", "0.001uM", "0.01uM", "0.1ug/ml", "0.01uM", "0.1uM",
"0.03uM", "0.01uM", "0.01uM", "0.01uM", "0.1ng/ml", "0.001uM",
"0.01uM", "0.01uM", "0.1uM", "0.01uM", "0.1uM", "0.01uM", "0.01uM",
"0.001uM", "1uM", "10ug/mlplus1ug/ml", "10uM", "0.1uM", "1uM",
"1uM", "1ug/mlplus1ug/ml", "1uM", "10uM", "1uM", "100uM", "1uM",
"10uM", "10uM", "10uM", "1uM", "1uM", "10uM", "3uM", "1uM", "1uM",
"1uM", "0.1uM", "10uM", "10ug/ml", "1ug/ml", "1uM", "30uM", "30uM",
"0.1uM", "1uM")), row.names = c(NA, -95L), class = "data.frame")
ANSWER
Answered 2021-Mar-30 at 17:09Here's an approach with rank() and a join. We can take advantage of the fact that each drug has the same units within the drugs.
QUESTION
I have a data frame which contains some data entry errors.
I wish to replace these outlier values per group with the most common value per group.
My data looks as follows:
...ANSWER
Answered 2021-Mar-22 at 01:51I agree with the comment that this is potentially dangerous.
The code below replaces elements that have <= a specified number of occurrences with the most common value. I use base-R machinery within the replacement function because that's what I know how to do.
QUESTION
The page is working fine. if I click the "add medication" button, the action is performed. but if I repeated it more than once. The page is frozen. Error: Incorrect parent use of the widget.
If I click the button, the page is struck.
How to solve this?
...ANSWER
Answered 2021-Jan-20 at 06:28I run your code and it looks right to me. But when you click on add meditation more than once then the widget data will add to your listview and it converts into scroll so when you tried to go up this doesn't work. So you need to stop scrolling of your listview and it will solve
QUESTION
I have tried other solutions for this problem, alas the problem still exists. This is the error:
org.hibernate.HibernateException: More than one row with the given identifier was found: 1, for class: CO3102.hw2.domain.records at org.hibernate.loader.entity.AbstractEntityLoader.load(AbstractEntityLoader.java:86) ~[hibernate-core-5.0.11.Final.jar:5.0.11.Final] at org.hibernate.loader.entity.EntityLoader.loadByUniqueKey(EntityLoader.java:143) ~[hibernate-core-5.0.11.Final.jar:5.0.11.Final] at org.hibernate.persister.entity.AbstractEntityPersister.loadByUniqueKey(AbstractEntityPersister.java:2122) ~[hibernate-core-5.0.11.Final.jar:5.0.11.Final] at org.hibernate.type.EntityType.loadByUniqueKey(EntityType.java:692) ~[hibernate-core-5.0.11.Final.jar:5.0.11.Final] at org.hibernate.type.EntityType.resolve(EntityType.java:434) ~[hibernate-core-5.0.11.Final.jar:5.0.11.Final] at org.hibernate.engine.internal.TwoPhaseLoad.doInitializeEntity(TwoPhaseLoad.java:154) ~[hibernate-core-5.0.11.Final.jar:5.0.11.Final]
What I have been doing: I have a record class, with name, vaccine id, dosage etc. I am saving a vaccine row into this Vaccine ID section, but now when I add more users I get the error above. I have tried following many solutions on here but they don't work for me, so if anyone could help please. Here is my records class. The other solutions talked about adding fetch.type = lazy which I have done which still makes the error present itself.
Record class
...ANSWER
Answered 2021-Jan-16 at 00:34What you probably want to achieve is many-to-one relationship. Try the following:
Record
QUESTION
My small company provides hospitals with a bug prevalence report. Earlier, we had only 1 customer who provides the necessary data for the application (patient demographics, culture details, antibiotic dosage etc) in a CSV dump for us to ingest. Now, we have larger hospitals interested in our product who have HL7 V2.5. I've found that people use Mirth connect for interfacing but very little on how this entire setup works. As a vendor, what are the things I need to do to make the integration possible?
From what I've read one of the approaches is the following:
- Set up a https server. Install and run mirth on it.
- The hospital will now send HL7 messages (are these text files?) to this server on a Mirth channel. Mirth can help me parse these messages and extract the data.
- I build further processing mechanisms to ingest that data into my application that the hospital will use.
Also, what is the standard followed when hospitals send HL7 messages? Do the hospital systems provide a consolidated HL7 file for the required data? Or will I as the vendor have to collect separate files and parse them to convert data into usable format?
...ANSWER
Answered 2021-Jan-14 at 22:29The usual process for receiving HL7 data is to:
- Stand up an integration engine such as Mirth, Lyniate Rhapsody, or Infor Cloverleaf.
- Establish a TCP/IP connection (an HL7v2 interface) to send and receive HL7 messages with the other software system. HL7v2 connections are usually made through a VPN to provide additional security, since the transport protocol (MLLP) does not have any native security.
- Configure your integration engine to parse and convert the messages into a format your application can understand.
There are alternatives such as HL7v2 over web services or via SFTP, but these aren't as common. HL7v2 messages aren't files, unless you are using the SFTP process to actually download/upload messages. Each HL7v2 message represents a single event and are almost always transmitted individually in near-real-time.
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Vulnerabilities
No vulnerabilities reported
Install dosage
You can use dosage like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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