The phrase "analysis on the raw" is not correct in standard written English.
It may be intended to refer to an analysis of raw data or raw materials, but the phrasing is awkward and unclear.
Example: "The analysis on the raw data revealed several significant trends that we need to address."
Alternatives: "analysis of the raw" or "evaluation of the raw data".
Bias is then introduced subsequently as a sensitivity analysis on the raw results obtained.
The resulting data are centered and differences between the conditions are proportional to the differences before the transformation (i.e., an ANOVA performed on the z-transformed data is identical to an analysis on the raw data).
Several options to explore are: analysis on the raw spectra rather than peak areas; analysis on each separate paint area rather than on the averaged peak areas; and other types of data analysis such as t-Distributed Stochastic Neighbor Embedding (T-SNE), independent component analysis (ICA) or non-negative matrix factorization (NMF).
In order to perform linear analysis on the raw data of the fetal heart rate, after resampling, we performed Fourier transformation and investigated power distributions among very low frequency (VLF), low frequency (LF), high frequency (HF) bands, and autonomic balance (LF/HF).
We performed a univariate analysis on the raw dataset, followed by a multivariate regression analysis to identify factors predictive for unfavorable outcome (Table 2).
The analysis on the raw 150 giga-base dataset (2.3 billion reads) ran in <20 h on our single node large memory computer (see Supplementary Material for additional details).
Details on the analysis of the raw data and mechanistic interpretation will be given in the following.
The regression analysis of the raw data on spore production per lesion (mg) and lesion size relationship as presented in Fig. 1A established that there is a clear monotonically rising relationship between lesion size and spore production per lesion for P. triticina on wheat (P < 0.001).
Analysis of the raw data.
Finally, the peak and mean cutting forces models of conical picks and the peak cutting force model of radial picks under unrelieved cutting mode were developed using principle component regression analysis and ridge regression analysis based on the raw data from linear full-scale cutting test.
The developed model is compared to a multivariate linear regression analysis conducted on the raw data, and a sensitivity analysis utilizing the trained network connection weights is conducted to determine which factor has the greatest effect on surface heave development.
