While looking for a R related solution I found some inconsistency between R and SPSS (ver. 24) in computing standardized residuals in a simple linear model. It appears that what SPSS calls standar...

I've been using the makeContrasts function in the Limma package to create contrasts, and I understand how to make simple contrasts, for example comparing each Treatment to a control independently o...

I'm trying to find a model for my data but I get the message "Coefficients: (3 not defined because of singularities)" These occur for winter, large and high_flow I found this: https://stats.stacke...

I have a set of data. I have use pandas to convert them in a dummy and categorical variables respectively. So, now I want to know, how to run a multiple linear regression (I am using statsmodels) i...

Suppose I'm fitting some data points by a simple linear regression. Now I'd like to perform several joint linear regressions for several sets of data points. More specifically, I want one parameter...

I tried this but couldn't get it to work for my data: Use Scikit Learn to do linear regression on a time series pandas data frame My data consists of 2 DataFrames. DataFrame_1.shape = (40,5000) a...

I know that: unsupervised learning is that of trying to find hidden structure in unlabeled data,otherwise ,we call it supervised learning. regression is also a type of classification ,except that...

I am running OLS regression using pandas.stats.api.ols using a groupby with the following code: from pandas.stats.api import ols df=pd.read_csv(r'F:\file.csv') result=df.groupby(['FID']).apply(la...

I am trying to add a linear regression line to my graph, but when it's run, it's not showing up. The code below is simplified. There are usually multiple points on each day. The graph comes out fin...

I am trying to fit a linear model and my dataset is normalized where each feature is divided by the maximum possible value. So the values ranges from 0-1. Now i came to know from my previous post L...

I want to use LinearRegression and linregress to caculate Intercept,X_Variable_1,R_Square,Significance_F just like regression analysis in Excel. When I use this code to do it, there is no mistake....

This R code throws a warning # Fit regression model to each cluster y <- list() length(y) <- k vars <- list() length(vars) <- k f <- list() length(f) <- k for (i in 1:k) { va...

Problem with adding a regression line to a 'plotly' scatter plot. I've done the following code: require(plotly) data(airquality) ## Scatter plot ## c <- plot_ly(data = airquality, x = Wind...

I implemented, for training purpose, a linear regression in python. The problem is that the cost is increasing instead of decreasing. For the data I use the Airfoil Self-Noise Data Set. Data can be...

This Q & A arises from How to make group_by and lm fast? where OP was trying to do a simple linear regression per group for a large data frame. In theory, a series of group-by regression y ~ x...

I have seen pairwise or general paired simple linear regression many times on Stack Overflow. Here is a toy dataset for this kind of problem. set.seed(0) X <- matrix(runif(100), 100, 5, dimname...

This is a sample. df <- tibble( subject = rep(letters[1:7], c(5, 6, 7, 5, 2, 5, 2)), day = c(3:7, 2:7, 1:7, 3:7, 6:7, 3:7, 6:7), x1 = runif(32), x2 = rpois(32, 3), x3 = rnorm(32), x4 = rnorm...

I'm using predict.lm(fit, newdata=newdata, interval="prediction") to get predictions and their prediction intervals (PI) for new observations. Now I would like to aggregate (sum and mean) these pre...

I want to use aggregate with this custom function: #linear regression f-n CalculateLinRegrDiff = function (sample){ fit <- lm(value~ date, data = sample) diff(range(fit$fitted)) } dataset2 =...

I'm implementing Linear Regression in Tensorflow first time. Initially, I tried it using a linear model but after few iterations of training, my parameter shot up to infinity. So, I changed my mode...

I have 2 arrays which are true_stress and true_strain. I want to do a linear regression to their log10 versions but I keep getting the said error. from sklearn.linear_model import LinearRegression...

I am fitting a model to factor data and predicting. If the newdata in predict.lm() contains a single factor level that is unknown to the model, all of predict.lm() fails and returns an error. Is t...

I'm trying to find a minimal adequate model using AIC in R. I keep getting the following error: Error in step(model) : number of rows in use has changed: remove missing values? My data: data&l...

I'm using Scala with Spark 2.0 to train a model with LinearRegression. val lr = new LinearRegression() .setMaxIter(num_iter) .setRegParam(reg) .setStandardization(true) val model = lr.fit(data...

I've found Error in contrasts when defining a linear model in R and have followed the suggestions there, but none of my factor variables take on only one value and I am still experiencing the same ...