For this particular example, the variables of interest are stored as key:value pairs and a single data cell could contain multiple (unknown) number of key:value pairs. Basically, we want to convert input dataset on LHS to the output dataset on the RHS as illustrated in the graphic below - The objective is to separate these key-value pairs and store the values in corresponding key columns.The...
For this particular example,the variables of interest are stored as key:value pairs anda single data cell could contain multiple (unknown) number of key:value pairs.The objective is to separate these key-value pairs and store the values in co...
In my previous post, I went over basics of survival analysis, that included estimating Kaplan-Meier estimate for a given time-to-event data. In this post, I'm exploring on Cox's proportional hazards model for survival data. KM estimator helps in figuri...
In my previous post, I went over basics of survival analysis, that included estimating Kaplan-Meier estimate for a given time-to-event data. In this post, I'm exploring on Cox's proportional hazards model for survival data. KM estimator helps in figuring out whether survival function estimates for different groups are same or different. While survival models like Cox's proportional hazards model...
I recently was looking for methods to apply to time-to-event data and started exploring Survival Analysis Models. In this post, I'm exploring basic KM estimator. It is a nonparametric estimator of the survival function. There are couple of instances when the KM estimator comes in handy - When the survival time is censored Comparing survival function for different preassigned groups. Below I'm...
I recently was looking for methods to apply to time-to-event data and started exploring Survival Analysis Models. In this post, I'm exploring basic KM estimator which is a nonparametric estimator of the survival function using a real dataset (on time t...
Following up on my earlier posts on accessing Open Government Data from R, I've wrapped this code into an R package - ogdindiar. It's available on GitHub at https://github.com/steadyfish/ogdindiarIt provides one simple function - fetch_data() to download required data resource from the https://data.gov.in portal. You can find the details about the usage in this vignette.Below is an example that downloads India's...
The current release of dplyr (v 0.4.1) offers lot more flexibility regarding usage of important verbs in non-interactive mode. In this post, I'm exploring different possible use-cases.group_by_, select_, rename_:For group_by_, select_ and rename_,...
As I mentioned in my previous blog post, Government of India have started an Open Data Portal for making various data public. Most of the data-sets on the portal are available for manual download. Some of the data-sets though are also available to be a...
I'm going to produce just a couple of charts, a teaser of sorts in this post. In the forthcoming posts I'll dig deeper.I was amazed with the existing list of R packages to work with spatial data, without needing to get into much of the technical detail...
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