How to analyze a JMeter summary report?

Short explanation looks like: Sample – number of requests sent Avg – an Arithmetic mean for all responses (sum of all times / count) Minimal response time (ms) Maximum response time (ms) Deviation – see Standard Deviation article Error rate – percentage of failed tests Throughput – how many requests per second does your server … Read more

How to get a regression summary in scikit-learn like R does?

There exists no R type regression summary report in sklearn. The main reason is that sklearn is used for predictive modelling / machine learning and the evaluation criteria are based on performance on previously unseen data (such as predictive r^2 for regression). There does exist a summary function for classification called sklearn.metrics.classification_report which calculates several … Read more

Read all files in a folder and apply a function to each data frame

On the contrary, I do think working with list makes it easy to automate such things. Here is one solution (I stored your four dataframes in folder temp/). filenames <- list.files(“temp”, pattern=”*.csv”, full.names=TRUE) ldf <- lapply(filenames, read.csv) res <- lapply(ldf, summary) names(res) <- substr(filenames, 6, 30) It is important to store the full path for … Read more

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