I needed to connect to company’s github.com domain access with organizations SSO. Some of local script refers to the github.com space with https access which requires configuration for token setup by github CLI.
Add remote URL (if applicable) For accessing to new remote address, you may add remote url by git remote add command.
1 2 3 4 5 6 7 $ git remote add origin https://github.com/user/repo.git # Set a new remote $ git remote -v # Verify new remote > origin https://github.
I read through below page, implemented R code for analysis, plotted linear or nonlinear lines for personal study.
Source UCLA | FAQ HOW DO I INTERPRET A REGRESSION MODEL WHEN SOME VARIABLES ARE LOG TRANSFORMED?
Read data read data from here
1 lgtrans <- read_csv("lgtrans.csv") outcome variables log transformed
$ log(y_{i}) = \beta_{0} +\beta_{1}x_{1i} + \cdots \beta_{k}x_{ki} + e_{i}$
intercept-only model 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 > lgwrite.
For tracking user behavior per unit of page link, I did some re-configurations on Google analytics.
Configuration on Google Analytics Google Analytics > Admin (gear symbol)
Add Account name (e.g. “tato’s note”) and click “Next”
Select Reporting time zone (e.g. “Japan”)
Click link of advanced options
Toggle `Create Universal Analytics property Add Property name (e.g. tato’s note) Add website url (e.g. https://note.
Tex/LaTex allows simple construction of mathematical formulae, while looking professional when printed.
Ref. Wikibook | LaTex/Mathematics
Although I wanted to write fine math formula on this page, it was a little subtle configuration to work finely.
KaTex I firstly tried to implement KaTex. Katex supports tidy Tex description.
Configuration I followed a configuration in example site of Hugo LoveIt theme that embeds KaTex.
config.toml
1 2 3 4 5 6 7 8 9 10 11 12 [params.
This is an exercising memo which I spent hours for converting data before plotting it as a numeric value.
problem on converting data While I want to convert a price data loaded from csv by data.table() (below is run on JupyterNotebook)
1 2 3 4 data <- read.table("../resource/asnlib/publicdata/Auto Insurance data.csv", header =T) str(data) typeof(data) head(data) [output]
1 2 3 4 5 6 7 8 9 10 11 12 13 14 'data.